- Libraries
- sentence-transformers
How to use mlx-community/nomicai-modernbert-embed-base-4bit with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mlx-community/nomicai-modernbert-embed-base-4bit")
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-4bit with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('sentence-similarity', 'mlx-community/nomicai-modernbert-embed-base-4bit'); - MLX
How to use mlx-community/nomicai-modernbert-embed-base-4bit with MLX:
# Download the model from the Hub
pip install huggingface_hub[hf_xet]
huggingface-cli download --local-dir nomicai-modernbert-embed-base-4bit mlx-community/nomicai-modernbert-embed-base-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
