Instructions to use Bananaws/Python_Task6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Bananaws/Python_Task6 with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Bananaws/Python_Task6") - Notebooks
- Google Colab
- Kaggle
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README.md
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6. Результаты обучения модели: loss и accuracy на всех трёх датасетах.
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Для тестового датасета loss: 0.0339 и accuracy: 0.0097
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6. Результаты обучения модели: loss и accuracy на всех трёх датасетах.
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Для тестового датасета loss: 0.0339 и accuracy: 0.0097
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Результат обучения:
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