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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ada7e705745eff6545e846ff00f0c0196f90ac3629278bf02312fdaf6dd6936
- Size of remote file:
- 69.8 MB
- SHA256:
- 850799d78699134b969056183fc9d490c51f8d8154d0ed00fae3e738b6b30af6
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