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:
- 677a8c414550c35698e684ed56a3a495d016960805fa13f4541b4463bd391e25
- Size of remote file:
- 6.99 GB
- SHA256:
- 6d6c5b6ee560b4a2a6452c79a7d92089a735332a50aeeec9515889579952ad37
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