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Currently, the embeddings model is used for calculating similarity. The Labels model backed by Hugging Face's zero shot classifier has shown an impressive level of accuracy in labelling text.
Evaluate if this pipeline can be used to perform similarity comparisons. In this case, the input sections would be a list of documents and candidate labels would be the query.
The text was updated successfully, but these errors were encountered:
Currently, the embeddings model is used for calculating similarity. The Labels model backed by Hugging Face's zero shot classifier has shown an impressive level of accuracy in labelling text.
Evaluate if this pipeline can be used to perform similarity comparisons. In this case, the input sections would be a list of documents and candidate labels would be the query.
The text was updated successfully, but these errors were encountered: