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DataikuNLP
/
camembert-base

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
French
camembert
Model card Files Files and versions
xet
Community
1

Instructions to use DataikuNLP/camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DataikuNLP/camembert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="DataikuNLP/camembert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("DataikuNLP/camembert-base")
    model = AutoModelForMaskedLM.from_pretrained("DataikuNLP/camembert-base")
  • Notebooks
  • Google Colab
  • Kaggle
camembert-base
990 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
alexcombessie
copy of original repo
a7148f9 over 4 years ago
  • .gitattributes
    345 Bytes
    copy of original repo over 4 years ago
  • README.md
    5.21 kB
    copy of original repo over 4 years ago
  • config.json
    508 Bytes
    copy of original repo over 4 years ago
  • pytorch_model.bin
    445 MB
    xet
    copy of original repo over 4 years ago
  • sentencepiece.bpe.model
    811 kB
    copy of original repo over 4 years ago
  • tf_model.h5
    543 MB
    xet
    copy of original repo over 4 years ago
  • tokenizer.json
    1.4 MB
    copy of original repo over 4 years ago