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Hi, are there any instructions/hints about how to load biobert as a keras layer using the huggingface transformers? I tried several possibilities but none of these worked. All that I found out is how to use the pytorch version but I am interested in the keras layer version. Below are two of my attempts (I saved the biobert files into folder "biobert_v1.1_pubmed").
AssertionError: Some objects had attributes which were not restored:
: ['tf_bert_model_4/bert/embeddings/word_embeddings/weight']
: ['tf_bert_model_4/bert/embeddings/position_embeddings/embeddings']
(and many more lines like above...)
NotImplementedError: Weights may only be loaded based on topology into Models when loading TensorFlow-formatted weights (got by_name=True to load_weights).
Any help appreciated! My experience with huggingface's transformers library is almost zero.
The text was updated successfully, but these errors were encountered:
Hi, are there any instructions/hints about how to load biobert as a keras layer using the huggingface transformers? I tried several possibilities but none of these worked. All that I found out is how to use the pytorch version but I am interested in the keras layer version. Below are two of my attempts (I saved the biobert files into folder "biobert_v1.1_pubmed").
Attempt 1:
Error message:
Attempt 2:
Error message:
Any help appreciated! My experience with huggingface's transformers library is almost zero.
The text was updated successfully, but these errors were encountered: