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/fingerprint.pb from dvdface/next-frame-predict: direct link, hf CLI and curl.
- Browser
- Download file 77 Bytes
-
https://huggingface.co/dvdface/next-frame-predict/resolve/main/savedmodel/fingerprint.pb
- Command line
-
hf download hf://dvdface/next-frame-predict/savedmodel/fingerprint.pb
-
curl -L -o fingerprint.pb https://huggingface.co/dvdface/next-frame-predict/resolve/main/savedmodel/fingerprint.pb
77 Bytes
- Xet hash:
- 80acfee7439c0912f7760b367956107d7d1c70413ba33770bbde942cbb9f943d
- Size of remote file:
- 77 Bytes
- SHA256:
- 528aadaff82e9283d2fefdf35b8245289f8ebd0107c02ff0673bca994cab2085
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