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:
- 0916cdbe2a6afe8680fe33811d9acae438e707065ad082c10c06ba51075e3973
- Size of remote file:
- 257 Bytes
- SHA256:
- 475208bc8150d5924e0fa7200795b1f4acb7318e4eb9eef6e717484747e517cb
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