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:
- fec10fb6575c06b1d364b81c5118802bd5ef6d1e49c35cc81e0ad4e88abf5c63
- Size of remote file:
- 9.44 MB
- SHA256:
- f1d29c1df08149fd3788ec4910b715e19c1514e412fc680b4d394f45f9c4d76d
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