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medkit
/
CamemBert-Bio-Generalized

Token Classification
Transformers
Safetensors
camembert
Model card Files Files and versions
xet
Community

Instructions to use medkit/CamemBert-Bio-Generalized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use medkit/CamemBert-Bio-Generalized with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="medkit/CamemBert-Bio-Generalized")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("medkit/CamemBert-Bio-Generalized")
    model = AutoModelForTokenClassification.from_pretrained("medkit/CamemBert-Bio-Generalized")
  • Notebooks
  • Google Colab
  • Kaggle
CamemBert-Bio-Generalized
1.32 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
Thibeb's picture
Thibeb
Upload 8 files
7e32d4e verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.53 kB
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  • model.safetensors
    440 MB
    xet
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  • optimizer.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    881 MB
    xet
    Upload 8 files over 2 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
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  • special_tokens_map.json
    354 Bytes
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  • tokenizer.json
    2.42 MB
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  • tokenizer_config.json
    1.56 kB
    Upload 8 files over 2 years ago
  • trainer_config.yml
    261 Bytes
    Upload 8 files over 2 years ago