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
File size: 300 Bytes
8b78124 | 1 2 3 4 5 6 7 8 9 10 11 | from transformers import PretrainedConfig
class PredNetConfig(PretrainedConfig):
model_type = "prednet"
def __init__(self, sequence_len=4, resize_hw=(128, 128), **kwargs):
super().__init__(**kwargs)
self.sequence_len = sequence_len
self.resize_hw = list(resize_hw)
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