Instructions to use tsaiyue/AnimateAnyone_PD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use tsaiyue/AnimateAnyone_PD with paddlenlp:
# ⚠️ Type of model unknown from paddlenlp.transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tsaiyue/AnimateAnyone_PD", from_hf_hub=True) model = AutoModel.from_pretrained("tsaiyue/AnimateAnyone_PD", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
Download motion_module_stage2.pdparams from tsaiyue/AnimateAnyone_PD: direct link, hf CLI and curl.
- Browser
- Download file 909 MB
-
https://huggingface.co/tsaiyue/AnimateAnyone_PD/resolve/main/motion_module_stage2.pdparams
- Command line
-
hf download hf://tsaiyue/AnimateAnyone_PD/motion_module_stage2.pdparams
-
curl -L -o motion_module_stage2.pdparams https://huggingface.co/tsaiyue/AnimateAnyone_PD/resolve/main/motion_module_stage2.pdparams
909 MB
- Xet hash:
- 554168c08423096e21e0f577222e969e61631e17e3c3956dea865de5c4ddb171
- Size of remote file:
- 909 MB
- SHA256:
- c35304aafef84ac50704039de340f0d8b45e4da51c6fcf641cbb209c9557f21b
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