Instructions to use abdelac/FakeImageModelKeras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use abdelac/FakeImageModelKeras with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://abdelac/FakeImageModelKeras") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faa94f996f390182e356577787855e173af53a9954db7e44eefd4e18ddbef028
- Size of remote file:
- 228 MB
- SHA256:
- 13e093787302513d07bf134bd7347e23c4cd4ab7d4e7a7f55ed7616b408a26d0
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