Instructions to use dog/timdillon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dog/timdillon with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dog/timdillon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d4b5a39d60268c6dea4d4bab61dbd5954aea4fe0ef94e6a11a9e4a9725cc530
- Size of remote file:
- 425 MB
- SHA256:
- 956782ce22bb3aa2e56efc8558119af0e6c00fe0409741a245b7ee6cc5dbf39d
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