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 convnet_2_ball_classification_model.keras from TaiHoag/ball_models: direct link, hf CLI and curl.
- Browser
- Download file 420 MB
-
https://huggingface.co/TaiHoag/ball_models/resolve/main/convnet_2_ball_classification_model.keras
- Command line
-
hf download hf://TaiHoag/ball_models/convnet_2_ball_classification_model.keras
-
curl -L -o convnet_2_ball_classification_model.keras https://huggingface.co/TaiHoag/ball_models/resolve/main/convnet_2_ball_classification_model.keras
420 MB
- Xet hash:
- 371a371bb11cea2e11cf1a80a3f753f16dbfd63ba3492a3c132794505fca83ec
- Size of remote file:
- 420 MB
- SHA256:
- 67e8f8cd0ec8ef9116880373e605d600540b85879646c4c582efcdb2073798a3
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