Instructions to use logasja/auramask-vgg-lofi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use logasja/auramask-vgg-lofi 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://logasja/auramask-vgg-lofi") - Notebooks
- Google Colab
- Kaggle
Download assets/summary_plot.png from logasja/auramask-vgg-lofi: direct link, hf CLI and curl.
- Browser
- Download file 3.06 MB
-
https://huggingface.co/logasja/auramask-vgg-lofi/resolve/main/assets/summary_plot.png
- Command line
-
hf download hf://logasja/auramask-vgg-lofi/assets/summary_plot.png
-
curl -L -o summary_plot.png https://huggingface.co/logasja/auramask-vgg-lofi/resolve/main/assets/summary_plot.png
3.06 MB

- Xet hash:
- f957ca70962ecc7083730e1fad5038e6eb247e72bddf73c3539d13267e7473b1
- Size of remote file:
- 3.06 MB
- SHA256:
- bc2525ffd9f370acb572663b856765b7c1352e078e32eb872ac66701f08dd003
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