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CATIE-AQ
/
CSR_Sparse_Encoder_camembert-large_STS

Feature Extraction
sentence-transformers
Safetensors
French
camembert
sparse-encoder
sparse
csr
Generated from Trainer
dataset_size:12227
loss:SpladeLoss
loss:SparseCosineSimilarityLoss
loss:FlopsLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use CATIE-AQ/CSR_Sparse_Encoder_camembert-large_STS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use CATIE-AQ/CSR_Sparse_Encoder_camembert-large_STS with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("CATIE-AQ/CSR_Sparse_Encoder_camembert-large_STS")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
CSR_Sparse_Encoder_camembert-large_STS / 2_SparseAutoEncoder
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Loïck
Training complete
a97d679 verified 10 months ago
  • config.json
    131 Bytes
    Training complete 10 months ago
  • model.safetensors
    16.8 MB
    xet
    Training complete 10 months ago