Instructions to use allenai/olmOCR-7B-0225-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use allenai/olmOCR-7B-0225-preview with Transformers:

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

pipe = pipeline("image-text-to-text", model="allenai/olmOCR-7B-0225-preview")
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)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("allenai/olmOCR-7B-0225-preview")
model = AutoModelForMultimodalLM.from_pretrained("allenai/olmOCR-7B-0225-preview", 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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use allenai/olmOCR-7B-0225-preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "allenai/olmOCR-7B-0225-preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "allenai/olmOCR-7B-0225-preview",
		"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/allenai/olmOCR-7B-0225-preview

SGLang

How to use allenai/olmOCR-7B-0225-preview 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 "allenai/olmOCR-7B-0225-preview" \
    --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": "allenai/olmOCR-7B-0225-preview",
		"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 "allenai/olmOCR-7B-0225-preview" \
        --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": "allenai/olmOCR-7B-0225-preview",
		"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 allenai/olmOCR-7B-0225-preview with Docker Model Runner:
```
docker model run hf.co/allenai/olmOCR-7B-0225-preview
```

Unable to extract all the information. Need HELP

#20

by gannu1908 - opened Mar 28, 2025

Discussion

gannu1908

Mar 28, 2025

I am using the code provided in the model documentation and unable to see full output?
What is causing this issue??
I see only first 3 column headers of a table ?

(olmocr) user@user-MS-7E06:~/Documents/codes$ python test1.py Qwen2VLRotaryEmbedding can now be fully parameterized by passing the model config through the config argument. All other arguments will be removed in v4.46
Loading checkpoint shards: 100%|███████████████████████████████████████████████████████| 4/4 [00:00<00:00, 19.02it/s]
device: cuda
['{"primary_language":"en","is_rotation_valid":true,"rotation_correction":0,"is_table":true,"is_diagram":false,"natural_text":"| Material | No. of trays | Drying time | Set temp. | Header/']`

selten12138

Apr 2, 2025

Have you made any progress?I have the same problem

gannu1908

Apr 3, 2025

Nope

MauricioC

Apr 5, 2025

Have you tried changing max_new_tokens in model.generate?

gannu1908

Apr 5, 2025

Yes but still the issue persists.

baileyk

Ai2 org Jul 17, 2025

Hi! Thanks for the question. We’re currently working on closing out old tickets, and we apologize that we didn’t get to you in a timely fashion. We’re closing this out for now, but if you’d still like an answer, please re-open and we will get back to you!

baileyk changed discussion status to closed Jul 17, 2025

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