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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://TaiHoag/ball_models") - Notebooks
- Google Colab
- Kaggle
Upload dataset.zip
Browse files- dataset.zip +3 -0
dataset.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:47df7803f6e4d780a024f8e1d7e324bf008e7c591284693c72aab67a203748e2
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size 563940203
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