Improve model card and add metadata
Browse filesHi! I'm Niels from the Hugging Face community science team.
I'm opening this PR to improve the model card for Resp-Agent. Specifically, I've added the `audio-text-to-text` pipeline tag to the metadata to reflect the model's multimodal capabilities and improve discoverability. I've also added a link to the paper page on the Hugging Face Hub and ensured the GitHub repository link is correctly referenced. These changes help users better understand the context and usage of these model weights.
README.md
CHANGED
|
@@ -1,19 +1,20 @@
|
|
| 1 |
---
|
|
|
|
|
|
|
| 2 |
license: mit
|
|
|
|
| 3 |
tags:
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
language:
|
| 9 |
-
- en
|
| 10 |
---
|
| 11 |
|
| 12 |
# Resp-Agent Models
|
| 13 |
|
| 14 |
-
Model weights for **Resp-Agent**
|
| 15 |
|
| 16 |
-
π¦ **GitHub Repository**: [
|
| 17 |
|
| 18 |
## π Contents
|
| 19 |
|
|
@@ -66,9 +67,7 @@ Resp-Agent/
|
|
| 66 |
βββ pretrained_models/ # From this repo
|
| 67 |
```
|
| 68 |
|
| 69 |
-
## π
|
| 70 |
-
|
| 71 |
-
**[Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis](https://openreview.net/forum?id=ZkoojtEm3W&referrer=%5BAuthor%20Console%5D(%2Fgroup%3Fid%3DICLR.cc%2F2026%2FConference%2FAuthors%23your-submissions))** (ICLR 2026)
|
| 72 |
|
| 73 |
If you find this work useful, please cite our paper:
|
| 74 |
|
|
@@ -91,4 +90,4 @@ url={https://openreview.net/forum?id=ZkoojtEm3W}
|
|
| 91 |
|
| 92 |
## π License
|
| 93 |
|
| 94 |
-
These model weights are released for academic research purposes only.
|
|
|
|
| 1 |
---
|
| 2 |
+
language:
|
| 3 |
+
- en
|
| 4 |
license: mit
|
| 5 |
+
pipeline_tag: audio-text-to-text
|
| 6 |
tags:
|
| 7 |
+
- respiratory-sound
|
| 8 |
+
- medical-ai
|
| 9 |
+
- audio-generation
|
| 10 |
+
- audio-classification
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
# Resp-Agent Models
|
| 14 |
|
| 15 |
+
Model weights for **Resp-Agent**, an autonomous multimodal system for respiratory sound generation and disease diagnosis presented in the paper: **[Resp-Agent: An Agent-Based System for Multimodal Respiratory Sound Generation and Disease Diagnosis](https://huggingface.co/papers/2602.15909)** (ICLR 2026).
|
| 16 |
|
| 17 |
+
π¦ **GitHub Repository**: [zpforlove/Resp-Agent](https://github.com/zpforlove/Resp-Agent)
|
| 18 |
|
| 19 |
## π Contents
|
| 20 |
|
|
|
|
| 67 |
βββ pretrained_models/ # From this repo
|
| 68 |
```
|
| 69 |
|
| 70 |
+
## π Citation
|
|
|
|
|
|
|
| 71 |
|
| 72 |
If you find this work useful, please cite our paper:
|
| 73 |
|
|
|
|
| 90 |
|
| 91 |
## π License
|
| 92 |
|
| 93 |
+
These model weights are released for academic research purposes only under the MIT License.
|