Instructions to use scrapegoat/Neural-Audio-Codec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scrapegoat/Neural-Audio-Codec with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scrapegoat/Neural-Audio-Codec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download descriptaudiocodec/dac/nn/__pycache__/quantize.cpython-310.pyc from scrapegoat/Neural-Audio-Codec: direct link, hf CLI and curl.
- Browser
- Download file 8.73 kB
-
https://huggingface.co/scrapegoat/Neural-Audio-Codec/resolve/main/descriptaudiocodec/dac/nn/__pycache__/quantize.cpython-310.pyc
- Command line
-
hf download hf://scrapegoat/Neural-Audio-Codec/descriptaudiocodec/dac/nn/__pycache__/quantize.cpython-310.pyc
-
curl -L -o quantize.cpython-310.pyc https://huggingface.co/scrapegoat/Neural-Audio-Codec/resolve/main/descriptaudiocodec/dac/nn/__pycache__/quantize.cpython-310.pyc
8.73 kB
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