Instructions to use gubringa/tf_flowers_resnet18 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use gubringa/tf_flowers_resnet18 with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("gubringa/tf_flowers_resnet18") - Notebooks
- Google Colab
- Kaggle
Download pyproject.toml from gubringa/tf_flowers_resnet18: direct link, hf CLI and curl.
- Browser
- Download file 161 Bytes
-
https://huggingface.co/gubringa/tf_flowers_resnet18/resolve/main/pyproject.toml
- Command line
-
hf download hf://gubringa/tf_flowers_resnet18/pyproject.toml
-
curl -L -o pyproject.toml https://huggingface.co/gubringa/tf_flowers_resnet18/resolve/main/pyproject.toml
161 Bytes
| [build-system] | |
| requires = ["setuptools>=40.8.0", "wheel", "python=3.11.12", "fastai=2.8.1", "fastcore=1.8.1"] | |
| build-backend = "setuptools.build_meta:__legacy__" | |