Instructions to use okeowo1014/imageaugmentationa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use okeowo1014/imageaugmentationa with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://okeowo1014/imageaugmentationa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 191a3d15b66258a02e6bd6e436c3404bbbb0659688e7a133004e484f09ab8682
- Size of remote file:
- 188 kB
- SHA256:
- b424b0fbe9bb88ce872e31dbf0a08e5a40afbc454abf38b1e81742a5d52621f3
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