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Yanzhu
/
bertweetfr_ner

Token Classification
Transformers
PyTorch
camembert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Yanzhu/bertweetfr_ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Yanzhu/bertweetfr_ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Yanzhu/bertweetfr_ner")
    model = AutoModelForTokenClassification.from_pretrained("Yanzhu/bertweetfr_ner")
  • Notebooks
  • Google Colab
  • Kaggle
bertweetfr_ner
443 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
Yanzhu's picture
Yanzhu
Update README.md
6c91439 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    862 Bytes
    Update README.md over 4 years ago
  • config.json
    1.87 kB
    Upload config.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    Upload pytorch_model.bin with git-lfs over 4 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
    Upload sentencepiece.bpe.model with git-lfs over 4 years ago
  • special_tokens_map.json
    299 Bytes
    Upload special_tokens_map.json over 4 years ago
  • tokenizer.json
    1.39 MB
    Upload tokenizer.json over 4 years ago
  • tokenizer_config.json
    414 Bytes
    Upload tokenizer_config.json over 4 years ago