err.log

https://huggingface.co/spaces/tclh123/fastapi-minimind-v1-small

Runtime error
Exit code: 1. Reason: 1007, in _find_and_load
  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
  File "<frozen importlib._bootstrap_external>", line 850, in exec_module
  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
  File "/home/user/app/./main.py", line 12, in <module>
    pipe_flan = pipeline("text2text-generation", model=MODEL, trust_remote_code=True)
  File "/usr/local/lib/python3.9/site-packages/transformers/pipelines/__init__.py", line 940, in pipeline
    framework, model = infer_framework_load_model(
  File "/usr/local/lib/python3.9/site-packages/transformers/pipelines/base.py", line 302, in infer_framework_load_model
    raise ValueError(
ValueError: Could not load model jingyaogong/minimind-v1-small with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForSeq2SeqLM'>,). See the original errors:

while loading with AutoModelForSeq2SeqLM, an error is thrown:
Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/transformers/pipelines/base.py", line 289, in infer_framework_load_model
    model = model_class.from_pretrained(model, **kwargs)
  File "/usr/local/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 567, in from_pretrained
    raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers_modules.jingyaogong.minimind-v1-small.fad3b10dd5e251cb6f8050e5a3c8080efbccfdd2.LMConfig.LMConfig'> for this kind of AutoModel: AutoModelForSeq2SeqLM.
Model type should be one of BartConfig, BigBirdPegasusConfig, BlenderbotConfig, BlenderbotSmallConfig, EncoderDecoderConfig, FSMTConfig, GPTSanJapaneseConfig, LEDConfig, LongT5Config, M2M100Config, MarianConfig, MBartConfig, MT5Config, MvpConfig, NllbMoeConfig, PegasusConfig, PegasusXConfig, PLBartConfig, ProphetNetConfig, Qwen2AudioConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SwitchTransformersConfig, T5Config, UMT5Config, XLMProphetNetConfig.

实际 `from transformers import PretrainedConfig`