Instructions to use Nathan9/xcodec_mini_infer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nathan9/xcodec_mini_infer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nathan9/xcodec_mini_infer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download descriptaudiocodec/dac/model/__pycache__/base.cpython-310.pyc from Nathan9/xcodec_mini_infer: direct link, hf CLI and curl.
- Browser
- Download file 7.26 kB
-
https://huggingface.co/Nathan9/xcodec_mini_infer/resolve/main/descriptaudiocodec/dac/model/__pycache__/base.cpython-310.pyc
- Command line
-
hf download hf://Nathan9/xcodec_mini_infer/descriptaudiocodec/dac/model/__pycache__/base.cpython-310.pyc
-
curl -L -o base.cpython-310.pyc https://huggingface.co/Nathan9/xcodec_mini_infer/resolve/main/descriptaudiocodec/dac/model/__pycache__/base.cpython-310.pyc
7.26 kB
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