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goverlyai
/
gte-modernbert-base

Sentence Similarity
Transformers
PyTorch
ONNX
Safetensors
sentence-transformers
Transformers.js
English
modernbert
feature-extraction
mteb
embedding
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use goverlyai/gte-modernbert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use goverlyai/gte-modernbert-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("goverlyai/gte-modernbert-base")
    model = AutoModel.from_pretrained("goverlyai/gte-modernbert-base")
  • sentence-transformers

    How to use goverlyai/gte-modernbert-base with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("goverlyai/gte-modernbert-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 goverlyai/gte-modernbert-base with Transformers.js:

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('sentence-similarity', 'goverlyai/gte-modernbert-base');
  • Notebooks
  • Google Colab
  • Kaggle
gte-modernbert-base / 1_Pooling
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  • 1 contributor
History: 1 commit
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goverly
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  • config.json
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