Instructions to use Eakempreet/ATAS-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Eakempreet/ATAS-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Eakempreet/ATAS-models") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 969dc4c6c38bf3b70310e36391600db92aee73e65e0c4ede164c8dd7dbba017b
- Size of remote file:
- 426 kB
- SHA256:
- d4a4900f2e5e1a4027d6652ff605e363f5c79a97abb640aba09708d6792a78c1
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