Instructions to use keras-io/VGG19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use keras-io/VGG19 with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("keras-io/VGG19") - Notebooks
- Google Colab
- Kaggle
Download model.png from keras-io/VGG19: direct link, hf CLI and curl.
- Browser
- Download file 68.5 kB
-
https://huggingface.co/keras-io/VGG19/resolve/d7bfb1945320c6826e17024c37ca0954b2ddfa86/model.png
- Command line
-
hf download hf://keras-io/VGG19@d7bfb1945320c6826e17024c37ca0954b2ddfa86/model.png
-
curl -L -o model.png https://huggingface.co/keras-io/VGG19/resolve/d7bfb1945320c6826e17024c37ca0954b2ddfa86/model.png
68.5 kB

- Xet hash:
- cda947338b015e8a422ecb5b4bd8201224259b90fd94e8e39535618a13fcb218
- Size of remote file:
- 68.5 kB
- SHA256:
- 9939d569fc88818bd6eb713ee925e6b7350cdd4be528ddaa39dc4882ad149e5f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.