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DSACT1HJ46A
/
MyAwesomeModel

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

Instructions to use DSACT1HJ46A/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DSACT1HJ46A/MyAwesomeModel with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DSACT1HJ46A/MyAwesomeModel")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("DSACT1HJ46A/MyAwesomeModel")
    model = AutoModel.from_pretrained("DSACT1HJ46A/MyAwesomeModel", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MyAwesomeModel
4.14 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
DSACT1HJ46A's picture
DSACT1HJ46A
Document all 15 benchmark scores to three decimal places
e5300cb verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.57 kB
    Document all 15 benchmark scores to three decimal places about 1 month ago
  • config.json
    66 Bytes
    Push selected best checkpoint with detailed evaluation README about 1 month ago
  • evaluation_results.json
    959 Bytes
    Use highest eval_accuracy as checkpoint selection criterion about 1 month ago
  • pytorch_model.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    23 Bytes
    xet
    Push selected best checkpoint with detailed evaluation README about 1 month ago