Instructions to use Wauplin/keras_image_classification_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Wauplin/keras_image_classification_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/keras_image_classification_example") - Notebooks
- Google Colab
- Kaggle
| library_name: keras | |
| pipeline_tag: image-classification | |
| tags: | |
| - tensorflow | |
| - torch | |
| - jax | |
| This model has been uploaded using the Keras library and can be used with JAX, TensorFlow, and PyTorch backends. | |
| This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information. | |
| Here is a visual representation of the model config. For more details, check out [config.json](./config.json). | |
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