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dell-research-harvard
/
NewsLinkWikipedia

sentence-transformers
PyTorch
English
mpnet
entity
entity disambiguation
Wikipedia
newspaper
news
Model card Files Files and versions
xet
Community

Instructions to use dell-research-harvard/NewsLinkWikipedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use dell-research-harvard/NewsLinkWikipedia with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("dell-research-harvard/NewsLinkWikipedia")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
NewsLinkWikipedia
7.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
96abhishekarora's picture
96abhishekarora
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  • predictions
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  • .gitattributes
    2.13 kB
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  • README.md
    148 Bytes
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  • added_tokens.json
    54 Bytes
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  • config.json
    698 Bytes
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  • epoch_step.txt
    2 Bytes
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  • featurised_fps.pkl

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    1.12 GB
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  • fp_embeddings.pkl

    Detected Pickle imports (3)

    • "numpy.ndarray",
    • "numpy.core.multiarray._reconstruct",
    • "numpy.dtype"

    What is a pickle import?

    5.76 GB
    xet
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  • pytorch_model.bin
    438 MB
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    357 Bytes
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  • vocab.txt
    232 kB
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