mixedbread-ai
/

mxbai-embed-large-v1

Feature Extraction

sentence-transformers

Transformers.js

text-embeddings-inference

Inference Endpoints

Model card Files Files and versions Community

ashishkgpian commited on Jul 7

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95f6bf6

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1 Parent(s): 990580e

Update README.md

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@@ -2655,7 +2655,7 @@ docs = [
 embeddings = model.encode(docs)
 # Optional: Quantize the embeddings
-binary_embeddings = quantize_embeddings(embeddings, precision="ubinary")
 similarities = cos_sim(embeddings[0], embeddings[1:])
 print('similarities:', similarities)

 embeddings = model.encode(docs)
 # Optional: Quantize the embeddings
+binary_embeddings = quantize_embeddings(embeddings, precision="float32")
 similarities = cos_sim(embeddings[0], embeddings[1:])
 print('similarities:', similarities)