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romain125
/
debug

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
xlm-roberta
feature-extraction
Generated from Trainer
dataset_size:5302
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • sentence-transformers

    How to use romain125/debug with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("romain125/debug")
    
    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
debug / runs
58.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
romain125's picture
romain125
Lettria/test_finetuned_model2
33d773c verified about 1 year ago
  • Feb20_15-55-27_ip-172-31-37-168
    Lettria/test_finetuned_model2 about 1 year ago
  • Feb20_15-57-37_ip-172-31-37-168
    Lettria/test_finetuned_model2 about 1 year ago
  • Feb20_15-59-16_ip-172-31-37-168
    Lettria/test_finetuned_model2 about 1 year ago
  • Feb20_16-24-54_ip-172-31-37-168
    Lettria/test_finetuned_model2 about 1 year ago