Instructions to use Araeynn/validation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Araeynn/validation_model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Araeynn/validation_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fda75485f26969407ff7e749b3f20c86171ec464eb47d900644139a8b3fc55b8
- Size of remote file:
- 20.4 kB
- SHA256:
- 7e5e1e56077db32b09e7baf312008929ce76be296ad8abd81e52fa361552392e
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