GVE-3B

46
11
3.0B
1 language
license:apache-2.0
by
Alibaba-NLP
Embedding Model
OTHER
3B params
New
46 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

> One Embedder for All Video Retrieval Scenarios > Queries of text, image, video, or any combination modalities — GVE understands them all for representations, zero-shot, without in-domain training.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'
🚀 Get Startedpython
model_path = 'Alibaba-NLP/GVE-3B'
model = AutoModel.from_pretrained(model_path, trust_remote_code=True, device_map='auto', low_cpu_mem_usage=True, torch_dtype=torch.bfloat16)
processor = AutoProcessor.from_pretrained(model_path, trust_remote_code=True, use_fast=True)
processor.tokenizer.padding_side = 'left'

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