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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amphion/TaDiCodec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from amphion/TaDiCodec: direct link, hf CLI and curl.
- Browser
- Download file 2 GB
-
https://huggingface.co/amphion/TaDiCodec/resolve/main/model.safetensors
- Command line
-
hf download hf://amphion/TaDiCodec/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/amphion/TaDiCodec/resolve/main/model.safetensors
2 GB
- Xet hash:
- 533f01caef3d731a4cf798f10660bb04cb3b4127b1770e353a5f6a83a2453824
- Size of remote file:
- 2 GB
- SHA256:
- 113cec5b6c2bee59ef4c074f991aeab4be0b593c4ebdb12af54be14b4b96dc59
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