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

- Xet hash:
- 6975e5ae61ea2c5466c8b8bd5be4fbeaac975a5670b124ed02bd78147d1710fc
- Size of remote file:
- 28 kB
- SHA256:
- 13eebebe475ccddfba2cc0bb477efd85e8b1666c59d93fc75eedca1fccf0b41e
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