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| Model | Size | Description |
|---|---|---|
| Diagnoser/checkpoints/longformer | 952 MB | Fine-tuned Longformer for EHR + audio analysis |
| Diagnoser/pretrained_models | 695 MB | BEATs & Tokenizer pretrained weights |
| Generator/checkpoints/llm | 3.8 GB | Fine-tuned LLM for audio generation |
| Generator/checkpoints/flow | 2.0 GB | CFM flow matching model |
| Generator/pretrained_models | 695 MB | BEATs & Tokenizer pretrained weights |
| audio_descriptions.jsonl | 87 MB×2 | Audio description data |
Note: DeepSeek-R1 model is NOT included here. Please download separately from:
🔗 deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
1from huggingface_hub import snapshot_download
2
3# Download all models
4snapshot_download(
5 repo_id="AustinZhang/resp-agent-models",
6 local_dir="./",
7 ignore_patterns=["*.md", ".gitattributes"]
8)
9
10# Download DeepSeek-R1 separately
11snapshot_download(
12 repo_id="deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
13 local_dir="./Diagnoser/checkpoints/deepseek-r1"
14)Resp-Agent/
├── Diagnoser/
│ ├── checkpoints/
│ │ ├── deepseek-r1/ # From deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
│ │ └── longformer/ # From this repo
│ └── pretrained_models/ # From this repo
└── Generator/
├── checkpoints/
│ ├── llm/ # From this repo
│ └── flow/ # From this repo
└── pretrained_models/ # From this repo1@inproceedings{zhangresp,
2 title={Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis},
3 author={ZHANG, Pengfei and Xie, Tianxin and Yang, Minghao and Liu, Li},
4 booktitle={The Fourteenth International Conference on Learning Representations}
5}