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:
- 448849190bff5d3c982219484624a494045d16e5d237103dc3d3902281875480
- Size of remote file:
- 126 kB
- SHA256:
- bc3a50a3cd31ca4fb1c49561b25a7c5f78080dde5a86cbd0b67c4f7406605d2e
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