Instructions to use 3omarQ/arabic-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use 3omarQ/arabic-text-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://3omarQ/arabic-text-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8812c93ecd5131813b8e9e394d99cac6a26394b556e45d54a5129e1f859af734
- Size of remote file:
- 217 kB
- SHA256:
- 2060818003d80a13d24e507b3222bfb20ab24d91712cb3c784e34c7c956093c1
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