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cjell
/
text

Sentence Similarity
sentence-transformers
Safetensors
English
mteb
Sentence Transformers
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use cjell/text with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("cjell/text")
    
    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
text
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
cjell's picture
cjell
fixing
32692d2 5 months ago
  • 1_Pooling
    fixing 5 months ago
  • .gitattributes
    1.56 kB
    2nd 5 months ago
  • README.md
    67.6 kB
    fixing 5 months ago
  • config.json
    641 Bytes
    xet
    fixing 5 months ago
  • config_sentence_transformers.json
    313 Bytes
    xet
    fixing 5 months ago
  • model.safetensors
    438 MB
    xet
    fixing 5 months ago
  • modules.json
    368 Bytes
    xet
    fixing 5 months ago
  • sentence_bert_config.json
    60 Bytes
    xet
    fixing 5 months ago
  • special_tokens_map.json
    732 Bytes
    xet
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.28 kB
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  • vocab.txt
    232 kB
    fixing 5 months ago