Instructions to use hashF/arabic_semantics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use hashF/arabic_semantics with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://hashF/arabic_semantics") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 573c4fb955ea8662d8d137dec6cb51f317996de65f26b621ec7aa65062673b4f
- Size of remote file:
- 373 kB
- SHA256:
- 2938d235a7ef2547b4221dc620066c9fe0a690339b866172ecaab591cbb887a6
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