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:
- 4e1582813aecccb29e1954ecdaaa7fd63a7c026301bf2431c8481518413dcd92
- Size of remote file:
- 59 Bytes
- SHA256:
- 1dc952ab3a953c2f14b798643135d8f58168eb1aa275034da62ca9944f206d27
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