lected model, then preprocess_mode=&#39;%s&#39; should be used and vice versa&#34;
            % (BERT, BERT)
        )
    is_huggingface = U.is_huggingface(data=train_data)
    if (is_huggingface and name not in HUGGINGFACE_MODELS) or (
        not is_huggingface and name in HUGGINGFACE_MODELS
    ):
        raise ValueError(
            &#34;you are using a Hugging Face transformer model but did not preprocess as such (or vice versa)&#34;
        )
    if is_huggingface and preproc.name != name:
        