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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
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
romain125's picture
romain125
End of training
3bcea80 verified about 1 year ago
  • 1_Pooling
    End of training about 1 year ago
  • eval
    End of training about 1 year ago
  • my_test
    End of training about 1 year ago
  • runs
    End of training about 1 year ago
  • test1
    End of training about 1 year ago
  • with_text
    End of training about 1 year ago
  • with_text_before
    End of training about 1 year ago
  • .gitattributes
    1.57 kB
    End of training about 1 year ago
  • README.md
    23 kB
    End of training about 1 year ago
  • config.json
    681 Bytes
    End of training about 1 year ago
  • config_sentence_transformers.json
    203 Bytes
    End of training about 1 year ago
  • model.safetensors
    471 MB
    xet
    End of training about 1 year ago
  • modules.json
    349 Bytes
    End of training about 1 year ago
  • sentence_bert_config.json
    53 Bytes
    End of training about 1 year ago
  • special_tokens_map.json
    965 Bytes
    End of training about 1 year ago
  • tokenizer.json
    17.1 MB
    xet
    End of training about 1 year ago
  • tokenizer_config.json
    1.2 kB
    End of training about 1 year ago
  • training_args.bin
    5.62 kB
    xet
    End of training about 1 year ago