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scholarly360
/
contracts-rm-bloomz-3b

Feature Extraction
Transformers
PyTorch
bloom
Model card Files Files and versions
xet
Community

Instructions to use scholarly360/contracts-rm-bloomz-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use scholarly360/contracts-rm-bloomz-3b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="scholarly360/contracts-rm-bloomz-3b")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("scholarly360/contracts-rm-bloomz-3b")
    model = AutoModel.from_pretrained("scholarly360/contracts-rm-bloomz-3b")
  • Notebooks
  • Google Colab
  • Kaggle
contracts-rm-bloomz-3b
12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
scholarly360's picture
scholarly360
Upload tokenizer
3677b42 about 3 years ago
  • .gitattributes
    1.53 kB
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  • config.json
    791 Bytes
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  • pytorch_model-00001-of-00002.bin
    9.91 GB
    xet
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  • pytorch_model-00002-of-00002.bin
    2.1 GB
    xet
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  • pytorch_model.bin.index.json
    27.5 kB
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer.json
    14.5 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    260 Bytes
    Upload tokenizer about 3 years ago