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howard-hou
/
IACC-compressor-small

Feature Extraction
Transformers
Safetensors
umt5
custom_code
Model card Files Files and versions
xet
Community

Instructions to use howard-hou/IACC-compressor-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use howard-hou/IACC-compressor-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="howard-hou/IACC-compressor-small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("howard-hou/IACC-compressor-small", trust_remote_code=True)
    model = AutoModel.from_pretrained("howard-hou/IACC-compressor-small", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
IACC-compressor-small
718 MB
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  • 1 contributor
History: 3 commits
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howard-hou
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  • .gitattributes
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  • README.md
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  • config.json
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  • configuration_rankingprompter.py
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  • model.safetensors
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  • modeling_rankingprompter.py
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  • special_tokens_map.json
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  • tokenizer.json
    16.8 MB
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  • tokenizer_config.json
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