Instructions to use monkseal555/GAN150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use monkseal555/GAN150 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("monkseal555/GAN150") - Notebooks
- Google Colab
- Kaggle
Download saved_model.pb from monkseal555/GAN150: direct link, hf CLI and curl.
- Browser
- Download file 1,000 kB
-
https://huggingface.co/monkseal555/GAN150/resolve/main/saved_model.pb
- Command line
-
hf download hf://monkseal555/GAN150/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/monkseal555/GAN150/resolve/main/saved_model.pb
1,000 kB
- Xet hash:
- 0bbf25c02aa9a0de85627302f2135936a77a1fad981439c3863002f9d646c149
- Size of remote file:
- 1,000 kB
- SHA256:
- 05d2d336f37a53e221a09b9a2da0d63048cf32e799bef035c5f38fa733b1f4d8
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