Instructions to use pyesonekyaw/recycletree_materials with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use pyesonekyaw/recycletree_materials with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("pyesonekyaw/recycletree_materials") - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from pyesonekyaw/recycletree_materials: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/pyesonekyaw/recycletree_materials/resolve/main/pyproject.toml
- Command line
-
hf download hf://pyesonekyaw/recycletree_materials/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/pyesonekyaw/recycletree_materials/resolve/main/pyproject.toml
162 Bytes
| [build-system] | |
| requires = ["setuptools>=40.8.0", "wheel", "python=3.8.10", "fastai=2.7.10", "fastcore=1.5.28"] | |
| build-backend = "setuptools.build_meta:__legacy__" | |