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Winmodel
/
custom-gpt

Feature Extraction
Transformers
PyTorch
ExGPT
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Winmodel/custom-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Winmodel/custom-gpt with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Winmodel/custom-gpt", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Winmodel/custom-gpt", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
custom-gpt
662 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Winmodel's picture
Winmodel
Upload GPT
ed5db8f verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload GPT about 1 year ago
  • config.json
    329 Bytes
    Upload GPT about 1 year ago
  • hf_configuration.py
    620 Bytes
    Upload GPT about 1 year ago
  • hf_modeling.py
    13.6 kB
    Upload GPT about 1 year ago
  • pytorch_model.bin
    662 MB
    xet
    Upload GPT about 1 year ago