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Purdy0228
/
ConvMemory-OPC-V3-Validity-Context

sentence-transformers
Safetensors
Chinese
convmemory
memory
reranking
validity
chinese
opc
Model card Files Files and versions
xet
Community

Instructions to use Purdy0228/ConvMemory-OPC-V3-Validity-Context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Purdy0228/ConvMemory-OPC-V3-Validity-Context with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Purdy0228/ConvMemory-OPC-V3-Validity-Context")
    
    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
ConvMemory-OPC-V3-Validity-Context / cross_encoder
Ctrl+K
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  • 1 contributor
History: 1 commit
Purdy0228's picture
Purdy0228
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178bafe verified 8 days ago
  • config.json
    841 Bytes
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  • model.safetensors
    2.27 GB
    xet
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    409 Bytes
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