Instructions to use yimacs/pippa_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yimacs/pippa_0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yimacs/pippa_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b07ce3cb78fc096f4def29d469bccb93c00f1c8120012e984b88e1aef7828661
- Size of remote file:
- 6.23 kB
- SHA256:
- 5c0d24ab59b2c0030e1fc54ef59937e8e93be1a85699b5163fc74911496d3168
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.