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??
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