khalidsaifullaah / bertify Goto Github PK
View Code? Open in Web Editor NEWAn easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.
License: MIT License
bertify's Issues
How can one un-BERTify when last_four_layers_embedding = True?
These two lines are added when last_four_layers_embedding=True:
# cast layers to a tuple and concatenate over the last dimension
cat_hidden_states = torch.cat(tuple(last_four_layers), dim=-1)
# take the mean of the concatenated embedding vectors over the token dimension
text_embedding = torch.mean(cat_hidden_states, dim=1)
However, once you take the mean, how would you recover the original text from the embeddings produced?
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