mlx-community
/

nomicai-modernbert-embed-base-bf16

Sentence Similarity

sentence-transformers

Transformers.js

feature-extraction

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

fix readme

#1

by yigitbekir - opened May 1, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -21111,7 +21111,7 @@ import mlx.core as mx
 model, tokenizer = load("mlx-community/nomicai-modernbert-embed-base-bf16")
 # 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/nomicai-modernbert-embed-base-bf16")
 # 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