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HJUNN
/
bge_BCE_cross_encoder

Text Classification
sentence-transformers
Safetensors
English
Chinese
xlm-roberta
mteb
text-embeddings-inference
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • sentence-transformers

    How to use HJUNN/bge_BCE_cross_encoder with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("HJUNN/bge_BCE_cross_encoder")
    
    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
bge_BCE_cross_encoder
1.13 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
HJUNN's picture
HJUNN
Upload tokenizer
9c0848e verified 6 months ago
  • .gitattributes
    1.57 kB
    Add new CrossEncoder model 6 months ago
  • README.md
    34.1 kB
    Upload tokenizer 6 months ago
  • config.json
    871 Bytes
    Add new CrossEncoder model 6 months ago
  • model.safetensors
    1.11 GB
    xet
    Add new CrossEncoder model 6 months ago
  • special_tokens_map.json
    963 Bytes
    Add new CrossEncoder model 6 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.2 kB
    Add new CrossEncoder model 6 months ago