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Hi, When running dnabert2, I'm trying to output not only the CLS and hidden states but also the attentions.
I tried:
`db2_model = AutoModel.from_pretrained(dirname, output_attentions=True, trust_remote_code=True)
output = db2_model(input_ids) `
but the output is only a tuple of length 2 (the hidden states and the CLS tensor).
Any help would be much appreciated!
Thanks!
The text was updated successfully, but these errors were encountered:
Hi,
I also have the same question. Could you please show where the finetuned model weight is saved?
Thanks a lot!
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Hi,
When running dnabert2, I'm trying to output not only the CLS and hidden states but also the attentions.
I tried:
`db2_model = AutoModel.from_pretrained(dirname, output_attentions=True, trust_remote_code=True)
output = db2_model(input_ids)
`
but the output is only a tuple of length 2 (the hidden states and the CLS tensor).
Any help would be much appreciated!
Thanks!
The text was updated successfully, but these errors were encountered: