- Libraries
- sentence-transformers
How to use mlx-community/nomicai-modernbert-embed-base-8bit with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mlx-community/nomicai-modernbert-embed-base-8bit")
sentences = [
"That is a happy person",
"That is a happy dog",
"That is a very happy person",
"Today is a sunny day"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] - Transformers.js
How to use mlx-community/nomicai-modernbert-embed-base-8bit with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('feature-extraction', 'mlx-community/nomicai-modernbert-embed-base-8bit'); - MLX
How to use mlx-community/nomicai-modernbert-embed-base-8bit with MLX:
# Download the model from the Hub
pip install huggingface_hub[hf_xet]
hf download mlx-community/nomicai-modernbert-embed-base-8bit --local-dir nomicai-modernbert-embed-base-8bit
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