微调后导出67g的bin文件，之后怎么做呢
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Description
我把原生模型下面的config.json等全都拷贝到新生成的bin文件同目录下了，将pytorch_model.bin.index 将所有的模型名称改成了pytorch_model.bin，启动moss_inferrance.py报错TypeError: expected str, bytes or os.PathLike object, not NoneType
请问有人成功吧微调后的模型部署推理了吗？应该如何做呢？另，求一个官方微信群的邀请～
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Research direction
Start with moss_inferrance.py and reproduce the reported TypeError using the fine-tuned directory. Compare the copied config.json and pytorch_model.bin.index entries with the generated .bin file, then verify the expected model path and run inference. Done means the fine-tuned model loads and produces an inference result without the NoneType error.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100