Feature Extraction
Transformers
PyTorch
Chinese
chatglm
mental health
psychology
medical
custom_code
Instructions to use qiuhuachuan/PsyChat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qiuhuachuan/PsyChat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="qiuhuachuan/PsyChat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("qiuhuachuan/PsyChat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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```
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```
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```bibtex
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@INPROCEEDINGS{10580641,
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author={Qiu, Huachuan and Li, Anqi and Ma, Lizhi and Lan, Zhenzhong},
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booktitle={2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)},
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title={PsyChat: A Client-Centric Dialogue System for Mental Health Support},
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year={2024},
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volume={},
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number={},
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pages={2979-2984},
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keywords={Employee welfare;Accuracy;Federated learning;Focusing;Mental health;Generators;dialogue system;client-centric;mental health support;client behavior recognition;counselor strategy selection},
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doi={10.1109/CSCWD61410.2024.10580641}}
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```
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