Instructions to use Putul1519/Denoising_deeper_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Putul1519/Denoising_deeper_model 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_deeper_model") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from Putul1519/Denoising_deeper_model: direct link, hf CLI and curl.
- Browser
- Download file 473 kB
-
https://huggingface.co/Putul1519/Denoising_deeper_model/resolve/main/saved_model.pb
- Command line
-
hf download hf://Putul1519/Denoising_deeper_model/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/Putul1519/Denoising_deeper_model/resolve/main/saved_model.pb
473 kB
- Xet hash:
- 3310a4388dff6313af2a6f37409a6621e3ef1870e2a850f239ada36a92307521
- Size of remote file:
- 473 kB
- SHA256:
- 6613c2771b872ef673c85cc5689578f92628b5e726e4a031a634cc770e6f3102
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