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thang101020
/
coin_f

Sentence Similarity
sentence-transformers
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use thang101020/coin_f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use thang101020/coin_f with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("thang101020/coin_f")
    
    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
coin_f / 0_CLIPModel
607 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
thang101020's picture
thang101020
Upload 10 files
0d251f2 verified about 1 year ago
  • config.json
    4.03 kB
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  • merges.txt
    525 kB
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  • preprocessor_config.json
    316 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    605 MB
    xet
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  • special_tokens_map.json
    389 Bytes
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  • tokenizer_config.json
    604 Bytes
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  • vocab.json
    961 kB
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