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Hi,
my goal is to extract contextual word embeddings from last layer of BioBert and add additional features, before performing QA fine-tuning. please suggest me how to achieve this. also I found that when I print 'final_hidden = model.get_sequence_output()' to console, tensor shape is getting printed instead of contextual embeddings. yours suggestions are appreciated.
The text was updated successfully, but these errors were encountered:
Hi,
my goal is to extract contextual word embeddings from last layer of BioBert and add additional features, before performing QA fine-tuning. please suggest me how to achieve this. also I found that when I print 'final_hidden = model.get_sequence_output()' to console, tensor shape is getting printed instead of contextual embeddings. yours suggestions are appreciated.
The text was updated successfully, but these errors were encountered: