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Mehd212
/
camembert-bio-morpho-bi-encoder

Sentence Similarity
sentence-transformers
Safetensors
camembert
feature-extraction
dense
Generated from Trainer
dataset_size:8434
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mehd212/camembert-bio-morpho-bi-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Mehd212/camembert-bio-morpho-bi-encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Mehd212/camembert-bio-morpho-bi-encoder")
    
    sentences = [
        "tumeur maligne",
        "8082/3 Carcinome lymphoépithélial",
        "8000/3 Tumeur maligne, SAI",
        "8000/3 Cancer"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
camembert-bio-morpho-bi-encoder / checkpoint-795 /1_Pooling
312 Bytes
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  • 2 contributors
History: 1 commit
Mehd212's picture
Mehd212
Upload folder using huggingface_hub
32c271e verified 9 months ago
  • config.json
    312 Bytes
    Upload folder using huggingface_hub 9 months ago