Instructions to use Datadog/Toto-1.0-QA-Experimental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Datadog/Toto-1.0-QA-Experimental with Transformers:

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

pipe = pipeline("image-text-to-text", model="Datadog/Toto-1.0-QA-Experimental")
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 AutoModel
model = AutoModel.from_pretrained("Datadog/Toto-1.0-QA-Experimental", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Datadog/Toto-1.0-QA-Experimental with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Datadog/Toto-1.0-QA-Experimental"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Datadog/Toto-1.0-QA-Experimental",
		"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/Datadog/Toto-1.0-QA-Experimental

SGLang

How to use Datadog/Toto-1.0-QA-Experimental 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 "Datadog/Toto-1.0-QA-Experimental" \
    --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": "Datadog/Toto-1.0-QA-Experimental",
		"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 "Datadog/Toto-1.0-QA-Experimental" \
        --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": "Datadog/Toto-1.0-QA-Experimental",
		"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 Datadog/Toto-1.0-QA-Experimental with Docker Model Runner:
```
docker model run hf.co/Datadog/Toto-1.0-QA-Experimental
```

Improve model card metadata and add paper reference

by nielsr HF Staff - opened May 4

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+30

-35

nielsr

May 4

This PR improves the model card for Toto-1.0-QA-Experimental by:

Updating the pipeline_tag to image-text-to-text for better discoverability.
Adding library_name: transformers as the model is compatible with the Transformers library.
Moving the paper reference from the YAML metadata to the Markdown section per Hugging Face recommendations.
Adding the full list of authors and linking the official repository.

Improve model card metadata and add paper reference1b16e96b

sxie78-dd changed pull request status to merged 24 days ago

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