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 convnet_2_ball_classification_model.tflite
Browse files
convnet_2_ball_classification_model.tflite
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version https://git-lfs.github.com/spec/v1
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oid sha256:09d91f5f488303c9c87f3ae845b8ad3e9a775e1873c6bbb26680a51aefd4a008
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