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First of all Thank you for the amazing work. We use multiple encoders from Sentence transformers in our repo and so I wanted to know if there is any way we could get embedding dimension similar to SentenceTransformers's model.get_sentence_embedding_dimension() when we using model from BGEM3FlagModel class?
The text was updated successfully, but these errors were encountered:
First of all Thank you for the amazing work. We use multiple encoders from Sentence transformers in our repo and so I wanted to know if there is any way we could get embedding dimension similar to SentenceTransformers's
model.get_sentence_embedding_dimension()
when we using model from BGEM3FlagModel class?The text was updated successfully, but these errors were encountered: