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When I try to follow Zero Shot classification here using the same setting, I keep getting this warning:
The tokenizer class you load from this checkpoint is not the same type as the class this function is called from. It may result in unexpected tokenization.
The tokenizer class you load from this checkpoint is 'BertTokenizer'.
The class this function is called from is 'CXRBertTokenizer'.
You are using a model of type bert to instantiate a model of type cxr-bert. This is not supported for all configurations of models and can yield errors.
Some weights of the model checkpoint at microsoft/BiomedVLP-BioViL-T were not used when initializing CXRBertModel: ['bert.pooler.dense.weight', 'bert.pooler.dense.bias']
- This IS expected if you are initializing CXRBertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing CXRBertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Is this normal? Or how to suppress it?
The text was updated successfully, but these errors were encountered:
When I try to follow Zero Shot classification here using the same setting, I keep getting this warning:
Is this normal? Or how to suppress it?
The text was updated successfully, but these errors were encountered: