Instructions to use WueNLP/centurio_aya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WueNLP/centurio_aya with Transformers:

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

pipe = pipeline("image-text-to-text", model="WueNLP/centurio_aya", trust_remote_code=True)
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 AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("WueNLP/centurio_aya", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use WueNLP/centurio_aya with vLLM:

Install from pip and serve model

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

SGLang

How to use WueNLP/centurio_aya 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 "WueNLP/centurio_aya" \
    --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": "WueNLP/centurio_aya",
		"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 "WueNLP/centurio_aya" \
        --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": "WueNLP/centurio_aya",
		"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 WueNLP/centurio_aya with Docker Model Runner:
```
docker model run hf.co/WueNLP/centurio_aya
```

Gregor commited on Jan 10, 2025

Commit

bc31c23

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1 Parent(s): 7e205ae

Update README.md

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@@ -233,10 +233,19 @@ generated_ids = model.generate(
 ```
 @article{centurio2025,
-  title={TODO},
-  author={TODO},
-  year={2024},
-  journal={arXiv preprint arXiv:TODO},
-  url={TODO}
 }
 ```

 ```
 @article{centurio2025,
+  author       = {Gregor Geigle and
+                  Florian Schneider and
+                  Carolin Holtermann and
+                  Chris Biemann and
+                  Radu Timofte and
+                  Anne Lauscher and
+                  Goran Glava\v{s}},
+  title        = {Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model},
+  journal      = {arXiv},
+  volume       = {abs/2501.05122},
+  year         = {2025},
+  url          = {https://arxiv.org/abs/2501.05122},
+  eprinttype    = {arXiv},
+  eprint       = {2501.05122},
 }
 ```