Instructions to use ICTNLP/StreamUni-Phi4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ICTNLP/StreamUni-Phi4 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ICTNLP/StreamUni-Phi4", set_active=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ba0a6a5da8f4705322c4a97a11b602ec0afac09eb416aee0f227e272e140367
- Size of remote file:
- 7.29 kB
- SHA256:
- 60105c7edc5351980d2945760bd4c272d7fd735544e46a9180e63f9a5f8952ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.