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title: Fastai_pet_classifier | |
emoji: ๐ | |
colorFrom: green | |
colorTo: indigo | |
sdk: gradio | |
sdk_version: 2.9.4 | |
app_file: app.py | |
pinned: false | |
license: apache-2.0 | |
# Disclaimer | |
Note: This is a reproduction of the amazing blogpost done by tmabraham https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial | |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference | |
Steps | |
- Create a new hf space in your account | |
- Install git-lfs in order to manager our large model files. Jeremy provided this script https://gist.github.com/jph00/361a9b868aa3593f3fd8e930d0221266. I had to modify the PREFIX in the install.sh since I do not have enough space in PREFIX location. Instead I changed it to $HOME directory. | |
- Add export.pkl manually using the hf space. We can directly push to hub using `push_to_hub_fastai` function provided (see app.py). | |