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uripper
/
HESS

Fill-Mask
Transformers
PyTorch
Graphcore
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use uripper/HESS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="uripper/HESS")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("uripper/HESS")
    model = AutoModelForMaskedLM.from_pretrained("uripper/HESS")
  • Notebooks
  • Google Colab
  • Kaggle
HESS
198 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
Kevin Ripper
Upload tokenizer.json
84f0d2f over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit over 3 years ago
  • README.md
    20 Bytes
    initial commit over 3 years ago
  • config.json
    551 Bytes
    Upload config.json over 3 years ago
  • pytorch_model.bin
    198 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload special_tokens_map.json over 3 years ago
  • tokenizer.json
    159 kB
    Upload tokenizer.json over 3 years ago
  • tokenizer_config.json
    417 Bytes
    Upload tokenizer_config.json over 3 years ago