Instructions to use nlmaldonadog/intel-image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use nlmaldonadog/intel-image-classification with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("nlmaldonadog/intel-image-classification") - Notebooks
- Google Colab
- Kaggle
Download model.pkl from nlmaldonadog/intel-image-classification: direct link, hf CLI and curl.
- Browser
- Download file 47.1 MB
-
https://huggingface.co/nlmaldonadog/intel-image-classification/resolve/main/model.pkl
- Command line
-
hf download hf://nlmaldonadog/intel-image-classification/model.pkl
-
curl -L -o model.pkl https://huggingface.co/nlmaldonadog/intel-image-classification/resolve/main/model.pkl
47.1 MB
- Xet hash:
- f7b9bb8c93918239023dfc24fcf23573ebda1fd379b57e969a1e37b6182d0afa
- Size of remote file:
- 47.1 MB
- SHA256:
- a867b4d597476481554917d54fa170f5388013fb20a07cf2d8a36cafd15d53b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.