Instructions to use devers93/Arab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use devers93/Arab with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://devers93/Arab") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab3de5db7a65473aa2f59e7007ded7c7a8c83dfab1e6f4e590ba0c1debba1058
- Size of remote file:
- 128 kB
- SHA256:
- 49610749afad21f503cabc986ffcde29b5fbe28d0a2a6f92f65e8e38af1ab725
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