Instructions to use AdrienB134/test_tambouille with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdrienB134/test_tambouille with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdrienB134/test_tambouille", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4fd0ee1e52894fac2ab1a8cf1c304129eea4e51b1648e78374e407733dda284
- Size of remote file:
- 5.24 kB
- SHA256:
- 262e0494f3bd71c2684cb0b07e2481c3ee5467c49b795c02428f1acac10e6e0b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.