mlx-community
/

multilingual-e5-large

Feature Extraction

sentence-transformers

Sentence Transformers

sentence-similarity

text-embeddings-inference

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Update README.md

#1

by awinkler2 - opened Jul 29

base: refs/heads/main

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@@ -5967,7 +5967,7 @@ import mlx.core as mx
 model, tokenizer = load("mlx-community/multilingual-e5-large")
 # For text embeddings
-output = generate(model, processor, texts=["I like grapes", "I like fruits"])
 embeddings = output.text_embeds  # Normalized embeddings
 # Compute dot product between normalized embeddings

 model, tokenizer = load("mlx-community/multilingual-e5-large")
 # For text embeddings
+output = generate(model, tokenizer, texts=["I like grapes", "I like fruits"])
 embeddings = output.text_embeds  # Normalized embeddings
 # Compute dot product between normalized embeddings