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jinho8345
/
bros-base-uncased

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

Instructions to use jinho8345/bros-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jinho8345/bros-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jinho8345/bros-base-uncased")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("jinho8345/bros-base-uncased")
    model = AutoModel.from_pretrained("jinho8345/bros-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
bros-base-uncased
439 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
jinho8345's picture
jinho8345
Create README.md
ca0d062 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.55 kB
    Create README.md almost 3 years ago
  • config.json
    765 Bytes
    Update model almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Update model almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Update model almost 3 years ago
  • tokenizer.json
    711 kB
    Update model almost 3 years ago
  • tokenizer_config.json
    1.34 kB
    Update model almost 3 years ago
  • vocab.txt
    232 kB
    Update model almost 3 years ago