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ReFormer for textual semantic similarity
hey. I have 2 questions:
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Is it good approach pooling output embeddings of the reformer model in order to use them for textual semantic similarity? (I believe a better approach is to train a classifier on top of it for STS like the approach in sentence-transformers repository..)
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(noob question) how do I take the output embeddings of the reformer?
thanks a lot!