Audio-to-Audio
Transformers
Safetensors
dashengtokenizer
feature-extraction
audio-classification
signal-processing
custom_code
Instructions to use mispeech/dashengtokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mispeech/dashengtokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mispeech/dashengtokenizer", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Heinrich Dinkel commited on
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1b31973
1
Parent(s): e7f115e
updated readme
Browse files
README.md
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# DashengTokenizer
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DashengTokenizer is a high-performance neural audio tokenizer designed for audio understanding and generation tasks.
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figures/audio_generation_results.png
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figures/audio_understanding_results.png
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