Instructions to use dvdface/next-frame-predict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use dvdface/next-frame-predict 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("dvdface/next-frame-predict") - Notebooks
- Google Colab
- Kaggle
Download savedmodel/saved_model.pb from dvdface/next-frame-predict: direct link, hf CLI and curl.
- Browser
- Download file 1.11 MB
-
https://huggingface.co/dvdface/next-frame-predict/resolve/main/savedmodel/saved_model.pb
- Command line
-
hf download hf://dvdface/next-frame-predict/savedmodel/saved_model.pb
-
curl -L -o saved_model.pb https://huggingface.co/dvdface/next-frame-predict/resolve/main/savedmodel/saved_model.pb
1.11 MB
- Xet hash:
- 0a3d674da16f1497e5dca729190ee70e746e5ad3bbc3dfcd579603a46d504f8f
- Size of remote file:
- 1.11 MB
- SHA256:
- 5edf975b0705a826d17a3af45afc313096096784b0725c3432722eec855bdf30
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