Instructions to use ViettNguyen21/eff_unet_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ViettNguyen21/eff_unet_v1 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://ViettNguyen21/eff_unet_v1") - Notebooks
- Google Colab
- Kaggle
Download implement.ipynb from ViettNguyen21/eff_unet_v1: direct link, hf CLI and curl.
- Browser
- Download file 281 kB
-
https://huggingface.co/ViettNguyen21/eff_unet_v1/resolve/main/implement.ipynb
- Command line
-
hf download hf://ViettNguyen21/eff_unet_v1/implement.ipynb
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curl -L -o implement.ipynb https://huggingface.co/ViettNguyen21/eff_unet_v1/resolve/main/implement.ipynb
281 kB