Instructions to use TaiHoag/ball_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use TaiHoag/ball_models with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://TaiHoag/ball_models") - Notebooks
- Google Colab
- Kaggle
Download dataset.zip from TaiHoag/ball_models: direct link, hf CLI and curl.
- Browser
- Download file 564 MB
-
https://huggingface.co/TaiHoag/ball_models/resolve/main/dataset.zip
- Command line
-
hf download hf://TaiHoag/ball_models/dataset.zip
-
curl -L -o dataset.zip https://huggingface.co/TaiHoag/ball_models/resolve/main/dataset.zip
564 MB
- Xet hash:
- 7fa17ec9ba37beb3d2f22d0f53235effabdaa149b460ddaa83ab0741111e8e9e
- Size of remote file:
- 564 MB
- SHA256:
- 47df7803f6e4d780a024f8e1d7e324bf008e7c591284693c72aab67a203748e2
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