Instructions to use Elod1e/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elod1e/results with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Elod1e/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 359f2503fbe089c8be665a0faa34d622a968d49b099dc59d476b3b8a980f5d23
- Size of remote file:
- 5.84 kB
- SHA256:
- 62b6e83c3514664c6574fed3881e33a2148a28d8f6c082581376d24ca571fa09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.