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In paper, you wrote "We first compute the text-embedding for each prompt by passing it through the textencoder and then create a single classifier head by stacking all the embeddings.".
I don't quite understand, how to use this classifiier to get single similarity score? do mind showing me the corresponding code?
thx in advance.
The text was updated successfully, but these errors were encountered:
In paper, you wrote "We first compute the text-embedding for each prompt by passing it through the textencoder and then create a single classifier head by stacking all the embeddings.".
I don't quite understand, how to use this classifiier to get single similarity score? do mind showing me the corresponding code?
thx in advance.
The text was updated successfully, but these errors were encountered: