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doctolib-lab
/
doctobert-fr-base

Fill-Mask
Transformers
PyTorch
TensorBoard
Safetensors
French
roberta
medical
healthcare
biomedical
clinical
french
doctobert
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use doctolib-lab/doctobert-fr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use doctolib-lab/doctobert-fr-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="doctolib-lab/doctobert-fr-base", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("doctolib-lab/doctobert-fr-base")
    model = AutoModelForMaskedLM.from_pretrained("doctolib-lab/doctobert-fr-base", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
doctobert-fr-base
925 MB
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  • 2 contributors
History: 3 commits
bofenghuang's picture
bofenghuang
Upload LICENSE with huggingface_hub
314480d verified 19 days ago
  • assets
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  • runs
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  • .gitattributes
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  • LICENSE
    11.3 kB
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  • README.md
    13.2 kB
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  • config.json
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  • model.safetensors
    445 MB
    xet
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    445 MB
    xet
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  • special_tokens_map.json
    1.05 kB
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  • tokenizer.json
    4.49 MB
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  • tokenizer_config.json
    21.1 kB
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