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hash-map
/
got_tokenizer

sentence-transformers
English
Model card Files Files and versions
xet
Community

Instructions to use hash-map/got_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use hash-map/got_tokenizer with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("hash-map/got_tokenizer")
    
    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
got_tokenizer
1.24 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
hash-map's picture
hash-map
Update README.md
d6a544f verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    71 Bytes
    Update README.md 6 months ago
  • icefire_spm.model
    743 kB
    xet
    Upload 3 files 6 months ago
  • icefire_spm.vocab
    492 kB
    Upload 3 files 6 months ago
  • usage.py
    767 Bytes
    Upload 3 files 6 months ago