Instructions to use Wauplin/densenet_121_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/densenet_121_example with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Wauplin/densenet_121_example") - Notebooks
- Google Colab
- Kaggle

- Size of remote file:
- 2.31 MB
- SHA256:
- 288b9846b3a4defdde3394264beaa9e5970d0f4d45b752007ce4edd6b6b02657
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