Image-Text-to-Text
Transformers
Safetensors
multilingual
deepseek_vl_v2
feature-extraction
multimodal
ocr
vision-language
document-intelligence
conversational
custom_code
Eval Results (legacy)
Eval Results
🇪🇺 Region: EU
Instructions to use jinaai/jina-ocr-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/jina-ocr-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="jinaai/jina-ocr-v1", 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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jinaai/jina-ocr-v1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use jinaai/jina-ocr-v1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jinaai/jina-ocr-v1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jinaai/jina-ocr-v1", "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/jinaai/jina-ocr-v1
- SGLang
How to use jinaai/jina-ocr-v1 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 "jinaai/jina-ocr-v1" \ --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": "jinaai/jina-ocr-v1", "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 "jinaai/jina-ocr-v1" \ --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": "jinaai/jina-ocr-v1", "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 jinaai/jina-ocr-v1 with Docker Model Runner:
docker model run hf.co/jinaai/jina-ocr-v1
Download .eval_results/olmocrbench.yaml from jinaai/jina-ocr-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.76 kB
-
https://huggingface.co/jinaai/jina-ocr-v1/resolve/main/.eval_results/olmocrbench.yaml
- Command line
-
hf download hf://jinaai/jina-ocr-v1/.eval_results/olmocrbench.yaml
-
curl -L -o olmocrbench.yaml https://huggingface.co/jinaai/jina-ocr-v1/resolve/main/.eval_results/olmocrbench.yaml
1.76 kB
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: overall | |
| value: 83.4 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: arxiv_math | |
| value: 86.1 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: old_scans_math | |
| value: 82.3 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: table_tests | |
| value: 88.8 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: old_scans | |
| value: 42.6 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: multi_column | |
| value: 85.5 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: long_tiny_text | |
| value: 93.2 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: headers_footers | |
| value: 88.7 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |
| - dataset: | |
| id: allenai/olmOCR-bench | |
| task_id: baseline | |
| value: 99.9 | |
| source: | |
| url: https://huggingface.co/papers/2609.03181 | |
| name: Jina-OCR-v1 technical report | |
| user: jinaai | |