Instructions to use JTSJohnny/pipi0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use JTSJohnny/pipi0 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://JTSJohnny/pipi0") - Notebooks
- Google Colab
- Kaggle
Download .python-version from JTSJohnny/pipi0: direct link, hf CLI and curl.
- Browser
- Download file 5 Bytes
-
https://huggingface.co/JTSJohnny/pipi0/resolve/main/.python-version
- Command line
-
hf download hf://JTSJohnny/pipi0/.python-version
-
curl -L -o .python-version https://huggingface.co/JTSJohnny/pipi0/resolve/main/.python-version
5 Bytes
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