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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5179924197d1916ea4791a8eced26cf1f4d99049e6374a2437e36980ee554652
- Size of remote file:
- 6.99 GB
- SHA256:
- f9fedddafb2fdf7d9ab455cfb0dfb541862cbb3a8ccccb856203e1c409cf292c
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