mixedbread-ai
/

mxbai-embed-large-v1

Feature Extraction

sentence-transformers

Transformers.js

text-embeddings-inference

Inference Endpoints

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Update README.md

#12

by ashishkgpian - opened Jul 7

base: refs/heads/main

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from: refs/pr/12

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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)