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:
- 02dfd24959b6a366b97e82835caf0efbbecd07a6d86ca460996711a45e85c9a8
- Size of remote file:
- 43 MB
- SHA256:
- 599498f9d68a49295abe2d221e8e5aaf20ba071b2c524b640e176b52bc5a19d7
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