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huanghe
/
camemBERT

Fill-Mask
Transformers
Safetensors
camembert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use huanghe/camemBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="huanghe/camemBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("huanghe/camemBERT")
    model = AutoModelForMaskedLM.from_pretrained("huanghe/camemBERT")
  • Notebooks
  • Google Colab
  • Kaggle
camemBERT
Ctrl+K
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  • 1 contributor
History: 3 commits
huanghe's picture
huanghe
Upload tokenizer
286e1bb verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload CamembertForMaskedLM about 2 years ago
  • added_tokens.json
    28 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    706 Bytes
    Upload CamembertForMaskedLM about 2 years ago
  • model.safetensors
    443 MB
    xet
    Upload CamembertForMaskedLM about 2 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
    Upload tokenizer about 2 years ago
  • special_tokens_map.json
    374 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.76 kB
    Upload tokenizer about 2 years ago