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
| nltk | |
| demoji | |
| swifter | |
| camel-tools | |
| scikit-learn | |
| numpy>=1.19.2 | |
| pandas>=1.2.0 | |
| seaborn>=0.11.0 | |
| matplotlib>=3.3.0 | |
| tensorflow>=2.0.0 | |
| opencv-python>=4.5.0 | |