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:
- 464f98b028d275ffe5a7f9aaac44bdaa5a0051eead6a156d1351fc82c09586db
- Size of remote file:
- 59 Bytes
- SHA256:
- 0233be09d9a52e0cd47bf10173adc335533d05ef00c5877b65d015dc3d7cf4de
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