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
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| `tokenizer.pkl` | Keras tokenizer (must match training) |
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| `label_encoder.pkl` | Label encoder for output mapping |
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| `requirements.txt` | Python dependencies |
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## How to Use the Model
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### Installation
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```bash
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pip install -r requirements.txt
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| `tokenizer.pkl` | Keras tokenizer (must match training) |
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| `label_encoder.pkl` | Label encoder for output mapping |
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| `requirements.txt` | Python dependencies |
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