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
- Xet hash:
- ac3b3df66650d240b6fd3c91aab482164bbe4ccad0c3432c33b1e5ddb97d542f
- Size of remote file:
- 662 MB
- SHA256:
- df3ca80a6243fa9c565c117bfba39515c188972a61e7754f5fa9ea7d32c75f70
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