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
- Xet hash:
- 554168c08423096e21e0f577222e969e61631e17e3c3956dea865de5c4ddb171
- Size of remote file:
- 909 MB
- SHA256:
- c35304aafef84ac50704039de340f0d8b45e4da51c6fcf641cbb209c9557f21b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.