Instructions to use dog/theovon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dog/theovon with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dog/theovon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 241b2c17fa2ccd40d66d0360be70318cb13752b0a033ed5c12b9cdf1f595baa9
- Size of remote file:
- 543 MB
- SHA256:
- 8333b50823486681995cae773d290e3352726c5c744239139080972cd2270352
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.