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DataMuncher-Labs
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SC-500k

Text Classification
Transformers
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Instructions to use DataMuncher-Labs/SC-500k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DataMuncher-Labs/SC-500k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DataMuncher-Labs/SC-500k")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("DataMuncher-Labs/SC-500k", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
SC-500k
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  • 1 contributor
History: 4 commits
Roman190928's picture
Roman190928
Update README.md
955f07e verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    435 Bytes
    Update README.md 4 months ago
  • config.json
    131 Bytes
    Upload 8 files 4 months ago
  • eval.txt
    92 Bytes
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  • model_config.json
    165 Bytes
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  • model_state.safetensors
    2.01 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
    Upload 8 files 4 months ago