vscode debug Transformer源码说明
- 首选确认conda env 环境中未使用 install 安装Transformer；
- 下载源码：
git clone https://github.com/huggingface/transformers.git
cd transformers# pip
pip install '.[torch]'
安装后通过pip list 可以看到是指向你的本地目录：
3. 自测demo,放在根目录即可
from transformers import AutoModelForCausalLM, AutoTokenizermodel_name = "Qwen/Qwen3-0.6B"# load the tokenizer and the model
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, use_fast=False)
model = AutoModelForCausalLM.from_pretrained(model_name,trust_remote_code=True,dtype="auto",device_map="auto"
)# prepare the model input
prompt = "Give me a short introduction to large language model."
messages = [{"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)# conduct text completion
generated_ids = model.generate(**model_inputs,max_new_tokens=512
)
output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist()content = tokenizer.decode(output_ids, skip_special_tokens=True)print("content:", content)
- vscode debug：按照以往代码debug即可；
-
安装插件
-
vscode 右下角选择你的env，如下
-
点击上方的三个点-》运行-》启动调试
