Instructions to use adcelis/AP-pract1-blindness with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use adcelis/AP-pract1-blindness with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("adcelis/AP-pract1-blindness") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from adcelis/AP-pract1-blindness: direct link, hf CLI and curl.
- Browser
- Download file 87.5 MB
-
https://huggingface.co/adcelis/AP-pract1-blindness/resolve/main/model.pkl
- Command line
-
hf download hf://adcelis/AP-pract1-blindness/model.pkl
-
curl -L -o model.pkl https://huggingface.co/adcelis/AP-pract1-blindness/resolve/main/model.pkl
87.5 MB
- Xet hash:
- 3b2395797cc75f116d921f0c8d7874018c01e9a34dedbc2d116daf4942206b53
- Size of remote file:
- 87.5 MB
- SHA256:
- 5dcee9fd3f2f13b8affa73dda55cac1a952e8a5fc53f920efca138d51844b16b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.