Instructions to use MingHuiFang/dac_16khz_8kbps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingHuiFang/dac_16khz_8kbps with Transformers:
# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("MingHuiFang/dac_16khz_8kbps") model = AutoModel.from_pretrained("MingHuiFang/dac_16khz_8kbps") - Notebooks
- Google Colab
- Kaggle
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README.md
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# This repository offers 16khzDAC with 9 codebooks and 8kbps bitrate.
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For integration into ParlerTTS, you first need to install the [Parler-TTS library](https://github.com/huggingface/parler-tts) with (to do once):
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# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
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# This repository offers 16khzDAC with 9 codebooks and 8kbps bitrate.
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For integration into ParlerTTS, you first need to install the [Parler-TTS library](https://github.com/huggingface/parler-tts) with (to do once):
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```sh
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pip install git+https://github.com/huggingface/parler-tts.git
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```
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# Descript Audio Codec (.dac): High-Fidelity Audio Compression with Improved RVQGAN
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