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Gilles
/
FongBERT

Feature Extraction
Transformers
PyTorch
roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Gilles/FongBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Gilles/FongBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Gilles/FongBERT")
    model = AutoModel.from_pretrained("Gilles/FongBERT")
  • Notebooks
  • Google Colab
  • Kaggle
FongBERT
204 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Gilles's picture
Gilles
Update README.md
f308c50 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    2.21 kB
    Update README.md almost 5 years ago
  • config.json
    702 Bytes
    add model almost 5 years ago
  • merges.txt
    106 kB
    add tokenizer almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    204 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    772 Bytes
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    1.17 kB
    add tokenizer almost 5 years ago
  • vocab.json
    186 kB
    add tokenizer almost 5 years ago