Instructions to use Putul1519/Denoising with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Putul1519/Denoising with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://Putul1519/Denoising") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Putul1519/Denoising: direct link, hf CLI and curl.
- Browser
- Download file 117 kB
-
https://huggingface.co/Putul1519/Denoising/resolve/main/saved_model.pb
- Command line
-
hf download hf://Putul1519/Denoising/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Putul1519/Denoising/resolve/main/saved_model.pb
117 kB
- Xet hash:
- 12d5fb15e13ae7ffe3c3f17d9026603626a273dbd8876cfed9ab81b8954d036e
- Size of remote file:
- 117 kB
- SHA256:
- 8c047ccedc232ca52cb1c7c70991c0883948698b7e253da041bf8676513f64ee
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