Instructions to use XiangpengYang/VideoCoF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use XiangpengYang/VideoCoF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("XiangpengYang/VideoCoF", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c9180d95bc12b4798ab6c33fd66e4c35a5eebcb8e5c0874140f529bb407c8dca
- Size of remote file:
- 8.58 MB
- SHA256:
- b24963a2cf2265decb4cfade93463b5a29ae57999bec78354caabc00034e7ad5
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