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
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license: cc-by-nc-4.0
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license: cc-by-nc-4.0
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https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis, but with fp16 (half precision) weights
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Read all the info here https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis/blob/main/README.md
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