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lightonai
/
modernbert-embed-large

Sentence Similarity
sentence-transformers
ONNX
Safetensors
Transformers.js
English
modernbert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

Instructions to use lightonai/modernbert-embed-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lightonai/modernbert-embed-large with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lightonai/modernbert-embed-large")
    
    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 lightonai/modernbert-embed-large with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'lightonai/modernbert-embed-large');
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

what happen if i'll use this model as embedding model in sentence transformer and train with my own data in marathi,english and hindi ?

🔥 1
#4 opened over 1 year ago by
chandan2706
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