Instructions to use kabachuha/modelscope-damo-text2video-pruned-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use kabachuha/modelscope-damo-text2video-pruned-weights with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:kabachuha/modelscope-damo-text2video-pruned-weights') tokenizer = open_clip.get_tokenizer('hf-hub:kabachuha/modelscope-damo-text2video-pruned-weights') - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by hahahafofo - opened
open_clip_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d35f83533256b4afdb4f5b887e4c08f2e1647b6a4412a196c91148e0adf65590
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size 1972298568
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