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Sbhatti33
/
sbert_model

Sentence Similarity
sentence-transformers
Safetensors
Transformers
English
bert
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Sbhatti33/sbert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Sbhatti33/sbert_model with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Sbhatti33/sbert_model")
    
    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]
  • Transformers

    How to use Sbhatti33/sbert_model with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Sbhatti33/sbert_model")
    model = AutoModel.from_pretrained("Sbhatti33/sbert_model")
  • Notebooks
  • Google Colab
  • Kaggle
sbert_model
91.8 MB
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  • 1 contributor
History: 2 commits
Sbhatti33's picture
Sbhatti33
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097d467 verified 6 months ago
  • 1_Pooling
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  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    10.5 kB
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  • config.json
    611 Bytes
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  • config_sentence_transformers.json
    283 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • modules.json
    349 Bytes
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  • sbert_mlp.pkl

    Detected Pickle imports (6)

    • "sklearn.pipeline.Pipeline",
    • "numpy.dtype",
    • "numpy._core.multiarray.scalar",
    • "numpy.ndarray",
    • "joblib.numpy_pickle.NumpyArrayWrapper",
    • "sklearn.preprocessing._data.StandardScaler"

    How to fix it?

    19.8 kB
    xet
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  • sentence_bert_config.json
    57 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.txt
    232 kB
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