Instructions to use zeromodels/regnet-y-320 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/regnet-y-320 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/regnet-y-320") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00c1168e5a4545ac9f830b8e9a4a18b0f8ff618aad248d70e2217f845b96bb86
- Size of remote file:
- 582 MB
- SHA256:
- d388e99070cabd74492fcfa22c7e6ae5da0b5817201a1bbf83058b1b03d870ff
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