Instructions to use emresvd/u196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use emresvd/u196 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("emresvd/u196") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from emresvd/u196: direct link, hf CLI and curl.
- Browser
- Download file 88.2 MB
-
https://huggingface.co/emresvd/u196/resolve/main/model.pkl
- Command line
-
hf download hf://emresvd/u196/model.pkl
-
curl -L -o model.pkl https://huggingface.co/emresvd/u196/resolve/main/model.pkl
88.2 MB
- Xet hash:
- c5a6fb1c62c8673f1a9f382c1ffbee7f0bd36f96350e94a2adb554ece5f1257e
- Size of remote file:
- 88.2 MB
- SHA256:
- 900779e699bd00044ee5c029b7b65ba55777fcc0a7691e94560d1971977b74e2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.