Instructions to use amphion/TaDiCodec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphion/TaDiCodec with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amphion/TaDiCodec", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b1e2ef23c0108353eae46c21c7d5dfb3715c3c071860dcc0ab0bbdee5fb5907
- Size of remote file:
- 181 MB
- SHA256:
- 56130fd13d5fbe828e56d61edb0049d35700db0472a866b8167d1d217d2687f8
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