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Instructions to use eyupipler/bai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use eyupipler/bai with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://eyupipler/bai") - Notebooks
- Google Colab
- Kaggle
Eyüp İpler commited on
Update Main Models/bai-2.2/README.md
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Main Models/bai-2.2/README.md
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@@ -31,7 +31,7 @@ model = load_model(model_path)
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model_name = model_path.split('/')[-1].split('.')[0]
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plt.figure(figsize=(10, 6))
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plt.title(f'Duygu Tahmini ({model_name}.
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plt.xlabel('Zaman')
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plt.ylabel('Sınıf')
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plt.legend(loc='upper right')
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model_name = model_path.split('/')[-1].split('.')[0]
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plt.figure(figsize=(10, 6))
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plt.title(f'Duygu Tahmini ({model_name}.2)')
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plt.xlabel('Zaman')
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plt.ylabel('Sınıf')
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plt.legend(loc='upper right')
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