mixedbread-ai
/

mxbai-embed-large-v1

Feature Extraction

sentence-transformers

Transformers.js

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

ashishkgpian commited on Jul 7, 2024

Commit

95f6bf6

·

verified ·

1 Parent(s): 990580e

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -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)