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sfsfff22
/
MyAwesomeModel

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use sfsfff22/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sfsfff22/MyAwesomeModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="sfsfff22/MyAwesomeModel")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("sfsfff22/MyAwesomeModel")
    model = AutoModel.from_pretrained("sfsfff22/MyAwesomeModel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MyAwesomeModel
5.82 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
sfsfff22's picture
sfsfff22
Update README with full 15-benchmark evaluation results (3 decimal places)
6fd312d verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    4.21 kB
    Update README with full 15-benchmark evaluation results (3 decimal places) about 2 months ago
  • config.json
    66 Bytes
    Push best model checkpoint (step_1000) about 2 months ago
  • pytorch_model.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    23 Bytes
    xet
    Push best model checkpoint (step_1000) about 2 months ago