Instructions to use extreme1228/ScaleCUA-qwen3-vl-osworld-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use extreme1228/ScaleCUA-qwen3-vl-osworld-sft with Transformers:

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

pipe = pipeline("image-text-to-text", model="extreme1228/ScaleCUA-qwen3-vl-osworld-sft")
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("extreme1228/ScaleCUA-qwen3-vl-osworld-sft")
model = AutoModelForMultimodalLM.from_pretrained("extreme1228/ScaleCUA-qwen3-vl-osworld-sft", 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 extreme1228/ScaleCUA-qwen3-vl-osworld-sft with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "extreme1228/ScaleCUA-qwen3-vl-osworld-sft"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "extreme1228/ScaleCUA-qwen3-vl-osworld-sft",
		"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/extreme1228/ScaleCUA-qwen3-vl-osworld-sft

SGLang

How to use extreme1228/ScaleCUA-qwen3-vl-osworld-sft 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 "extreme1228/ScaleCUA-qwen3-vl-osworld-sft" \
    --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": "extreme1228/ScaleCUA-qwen3-vl-osworld-sft",
		"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 "extreme1228/ScaleCUA-qwen3-vl-osworld-sft" \
        --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": "extreme1228/ScaleCUA-qwen3-vl-osworld-sft",
		"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 extreme1228/ScaleCUA-qwen3-vl-osworld-sft with Docker Model Runner:
```
docker model run hf.co/extreme1228/ScaleCUA-qwen3-vl-osworld-sft
```

Link model card to paper

by nielsr HF Staff - opened 12 days ago

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-3

nielsr

12 days ago

This PR improves the model card by linking it directly to the paper SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL. This automatically associates the model repository with the paper on Hugging Face.

Link model card to paperbb76005d

extreme1228 changed pull request status to merged 7 days ago

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