Instructions to use google/maxim-s2-enhancement-fivek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use google/maxim-s2-enhancement-fivek with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://google/maxim-s2-enhancement-fivek") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f26d59f1b7ab8dec2cc368e57d674ee67d632ecc4bbaf18fe4887ef7858f254
- Size of remote file:
- 46 MB
- SHA256:
- 9272833e6d766b583e2c676cc7bb8f81f57eb6f5b0d672bd66f5e25f487a100b
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