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multi-QA_v1-mpnet-asymmetric-A

Sentence Similarity sentence-transformers PyTorch mpnet feature-extraction Inference Endpoints
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@@ -34,7 +34,7 @@ Here is how to use this model to get the features of a given text using [Sentenc
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  from sentence_transformers import SentenceTransformer
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  model_Q = SentenceTransformer('flax-sentence-embeddings/multi-QA_v1-mpnet-asymmetric-Q')
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- model_A = SentenceTransformer('flax-sentence-embeddings/multi-QA_v1-mpnet-asymmetric-Q')
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  question = "Replace me by any question you'd like."
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  question_embbedding = model_Q.encode(text)
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  from sentence_transformers import SentenceTransformer
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  model_Q = SentenceTransformer('flax-sentence-embeddings/multi-QA_v1-mpnet-asymmetric-Q')
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+ model_A = SentenceTransformer('flax-sentence-embeddings/multi-QA_v1-mpnet-asymmetric-A')
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  question = "Replace me by any question you'd like."
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  question_embbedding = model_Q.encode(text)