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pamessina
/
CXRFE

Feature Extraction
Transformers
Safetensors
cxr-bert
custom_code
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use pamessina/CXRFE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="pamessina/CXRFE", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("pamessina/CXRFE", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CXRFE
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
denisparra's picture
denisparra
Update README.md
7c04127 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    621 Bytes
    Update README.md 5 months ago
  • config.json
    927 Bytes
    Update source code and model's weights 9 months ago
  • configuration_cxrbert.py
    999 Bytes
    Update source code and model's weights 9 months ago
  • generation_config.json
    90 Bytes
    First version of the CXRFE model and tokenizer. almost 2 years ago
  • model.safetensors
    439 MB
    xet
    Update source code and model's weights 9 months ago
  • modeling_cxrbert.py
    5.92 kB
    Update source code and model's weights 9 months ago
  • special_tokens_map.json
    125 Bytes
    First version of the CXRFE model and tokenizer. almost 2 years ago
  • tokenizer_config.json
    1.42 kB
    Update source code and model's weights 9 months ago
  • vocab.txt
    235 kB
    First version of the CXRFE model and tokenizer. almost 2 years ago