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:
- 7070a60dc15f547e1958a6200a9210353171817e1d988cce9a7c73c8d645880d
- Size of remote file:
- 1.02 GB
- SHA256:
- 5b5d1a46b19351c9a71bd8a5a59dd16be0be2ddefe70d3a0b4915d9a425e56d3
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