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Hi,
I want a single vector from hugging face DeBERTA-base model for doing semantic similarity....
Can i use the first vector of DeBERTa to represent the whole sentence OR Can i use the sum of first and last vector to represent sentence embedding???
Can anybody guide me how to use deberta to get the accuracy on snli dataset??
Thanks
The text was updated successfully, but these errors were encountered:
Hi,
I want a single vector from hugging face DeBERTA-base model for doing semantic similarity....
Can i use the first vector of DeBERTa to represent the whole sentence OR Can i use the sum of first and last vector to represent sentence embedding???
Can anybody guide me how to use deberta to get the accuracy on snli dataset??
Thanks
The text was updated successfully, but these errors were encountered: