Instructions to use iheallab/Clin-REACT-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use iheallab/Clin-REACT-31B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="iheallab/Clin-REACT-31B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("iheallab/Clin-REACT-31B")
model = AutoModelForMultimodalLM.from_pretrained("iheallab/Clin-REACT-31B", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use iheallab/Clin-REACT-31B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "iheallab/Clin-REACT-31B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "iheallab/Clin-REACT-31B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/iheallab/Clin-REACT-31B

SGLang

How to use iheallab/Clin-REACT-31B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "iheallab/Clin-REACT-31B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "iheallab/Clin-REACT-31B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "iheallab/Clin-REACT-31B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "iheallab/Clin-REACT-31B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use iheallab/Clin-REACT-31B with Docker Model Runner:
```
docker model run hf.co/iheallab/Clin-REACT-31B
```

macontreras98 commited on 3 days ago

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Update README.md

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@@ -140,8 +140,9 @@ If you use Clin-REACT in your research, please cite the associated ICU-REACT / C
              Kabbash, Michel S. and Haziroglu, Ceyhun and Patel, Rushi and Gomez, Gabriel and Chaiklin, Charlotte and
              Leung, Randy and John, Kenneth N. and Wiggins, Whitman and Kayser, Philip and Bird, Vincent and
              Bruzzone, Maria and Loftus, Tyler J. and Bihorac, Azra and Rashidi, Parisa},
-  journal = {arXiv preprint},
   year    = {2026},
-  note    = {arXiv identifier forthcoming}
 }
 ```

              Kabbash, Michel S. and Haziroglu, Ceyhun and Patel, Rushi and Gomez, Gabriel and Chaiklin, Charlotte and
              Leung, Randy and John, Kenneth N. and Wiggins, Whitman and Kayser, Philip and Bird, Vincent and
              Bruzzone, Maria and Loftus, Tyler J. and Bihorac, Azra and Rashidi, Parisa},
+  journal = {arXiv preprint arXiv:2608.22622},
   year    = {2026},
+  doi     = {10.48550/arXiv.2608.22622},
+  url     = {https://arxiv.org/abs/2608.22622}
 }
 ```