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romain125
/
outputs

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:2467
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use romain125/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use romain125/outputs with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("romain125/outputs")
    
    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]
  • Notebooks
  • Google Colab
  • Kaggle
outputs / eval
1.05 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
romain125's picture
romain125
End of training
3bcea80 verified about 1 year ago
  • binary_classification_evaluation_BinaryClassifEval_results.csv
    1.05 kB
    End of training about 1 year ago