Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
English
modernbert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use nomic-ai/modernbert-embed-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nomic-ai/modernbert-embed-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nomic-ai/modernbert-embed-base") 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 nomic-ai/modernbert-embed-base with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'nomic-ai/modernbert-embed-base'); - Notebooks
- Google Colab
- Kaggle
Docker or Inference Endpoint instructions?
#13
by michael-newsrx-com - opened
How can I run this model in a Docker image or as an Inference Endpoint for use with the standard Hugging Face Inference Client?
michael-newsrx-com changed discussion title from Docker instructions? to Docker or Inference Endpoint instructions?
So... no help since June?