Instructions to use Dimsralf/srcnn-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Dimsralf/srcnn-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://Dimsralf/srcnn-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e8502a6267f81550f2bb292bb71d76552a64114ee2711ef2c2de747d371801b
- Size of remote file:
- 115 MB
- SHA256:
- ed45558f75662e01a8e02d78c0040a6f5473fc91610d29519ff4fe211bdb7a08
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