matth

/

flowformer

like 5

ValueError                                Traceback (most recent call last)
<ipython-input-15-476be4fa303b> in <cell line: 2>()
      1 from transformers import AutoModel
----> 2 flowformer = AutoModel.from_pretrained("matth/flowformer", trust_remote_code=True)
      3 
      4 output = flowformer(x, markers=["TARGET"])

1 frames
/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
    553                 model_class.register_for_auto_class(cls.__name__)
    554             else:
--> 555                 cls.register(config.__class__, model_class, exist_ok=True)
    556             return model_class.from_pretrained(
    557                 pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs

/usr/local/lib/python3.10/dist-packages/transformers/models/auto/auto_factory.py in register(cls, config_class, model_class, exist_ok)
    579         """
    580         if hasattr(model_class, "config_class") and model_class.config_class != config_class:
--> 581             raise ValueError(
    582                 "The model class you are passing has a `config_class` attribute that is not consistent with the "
    583                 f"config class you passed (model has {model_class.config_class} and you passed {config_class}. Fix "

ValueError: The model class you are passing has a `config_class` attribute that is not consistent with the config class you passed (model has None and you passed <class 'transformers_modules.matth.flowformer.172f89c4436997765797c4b4859bceafc5d5e03f.configuration_flowformer.FlowformerConfig'>. Fix one of those so they match!