EE-Model-1.5B

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

# 加载模型
model_path = "HongHuTeam/EE-Model-1.5B"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
    model_path,
    device_map="auto",
    torch_dtype=torch.float16
)

# 电子信息专业问题示例
prompt = "请解释麦克斯韦方程组在电磁场理论中的物理意义。"
messages = [
    {"role": "system", "content": "你是一名电子信息学科的专业助教。"},
    {"role": "user", "content": prompt}
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

model_inputs = tokenizer([text], return_tensors="pt").to(model.device)

generated_ids = model.generate(
    **model_inputs,
    max_new_tokens=512
)
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)