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

- Xet hash:
- 91acfa1d663f372554f49aa00e1a515b3d009488361c32f2a4d77305e429ce64
- Size of remote file:
- 1.62 MB
- SHA256:
- 74165769a728ca8419755aa60be0010eb8035f94f73ecbe4f30ef1ae01bc6e13
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