AndesVL 2B Thinking

28

5

2.0B

license:apache-2.0

by

OPPOer

Image Model

OTHER

2B params

New

28 downloads

Early-stage

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Edge AI:

Mobile

Laptop

Server

5GB+ RAM

Mobile

Laptop

Server

Quick Summary

AndesVL is a suite of mobile-optimized Multimodal Large Language Models (MLLMs) with 0.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

2GB+ RAM

Code Examples

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

Quick Startcommandlinetransformers

# require transformers>=4.52.4

import torch
from transformers import AutoModel, AutoTokenizer, CLIPImageProcessor

model_dir = "OPPOer/AndesVL-2B-Thinking"

model = AutoModel.from_pretrained(model_dir, trust_remote_code=True,torch_dtype=torch.bfloat16).cuda()
tokenizer = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
image_processor = CLIPImageProcessor.from_pretrained(model_dir, trust_remote_code=True)

messages = [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": "描述这张图片。"},
                        {
                            "type": "image_url",
                            "image_url": {
                                "url": "https://i-blog.csdnimg.cn/blog_migrate/2f4c88e71f7eabe46d062d2f1ec77d10.jpeg" # image/to/path
                            },
                        }
                    ],
                },
        ]
res = model.chat(messages, tokenizer, image_processor, max_new_tokens=1024, do_sample=True, temperature=0.6, thinking=True)
print(res)

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