Transformers
PyTorch
English
Chinese
speech-processing
empathetic-dialogue
end-to-end-model
spoken-dialogue
Instructions to use ASLP-lab/OSUM-EChat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ASLP-lab/OSUM-EChat with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ASLP-lab/OSUM-EChat", dtype="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 305b3565d2c6af5f638adbd9cf039a4f061e59d677f3c98c4516194a96b7cd30
- Size of remote file:
- 524 kB
- SHA256:
- c35560421dc015c279f97efd9c3e5b0e255b773f59e0c361c4ad7eb96db4a161
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