Instructions to use ali444/VGG16_finetuned_79 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ali444/VGG16_finetuned_79 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ali444/VGG16_finetuned_79") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d6ecdee4c95ef6905c8bbc47503c6305db7dccc3e1911963913adc82107dda3
- Size of remote file:
- 297 kB
- SHA256:
- 0ea7cbcb5365b755f82b43f4ad9e7091ef1e025ccb7ae6460748dc59ef1b7947
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