Instructions to use Harwinda/fp-ai-modul-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Harwinda/fp-ai-modul-6 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Harwinda/fp-ai-modul-6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cae826d8e21989ff7260a4d5a4eded30ee1725c9d8d7a52da98ed42bb47fce23
- Size of remote file:
- 171 kB
- SHA256:
- a5c84f742f36128709166d2402cc64d8523051dc2b5f18c85ebc0da67e92582a
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