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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mispeech/dashengtokenizer", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download notebook.ipynb from mispeech/dashengtokenizer: direct link, hf CLI and curl.
- Browser
- Download file 9.72 kB
-
https://huggingface.co/mispeech/dashengtokenizer/resolve/main/notebook.ipynb
- Command line
-
hf download hf://mispeech/dashengtokenizer/notebook.ipynb
-
curl -L -o notebook.ipynb https://huggingface.co/mispeech/dashengtokenizer/resolve/main/notebook.ipynb
9.72 kB