Instructions to use H1merka/efficientnetb0-finetuned-banknote_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use H1merka/efficientnetb0-finetuned-banknote_classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://H1merka/efficientnetb0-finetuned-banknote_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a77031d680ff0e062a26d2415a2277fe00cb93538ba8bb33591f49ffe23e73b
- Size of remote file:
- 8.76 MB
- SHA256:
- f2ed44c310f87cd32571497bf5e5ab5956c37dda457f2d105c4f1713bcdf892e
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