Instructions to use nielsr/udop-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/udop-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nielsr/udop-large")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("nielsr/udop-large") model = AutoModelForImageTextToText.from_pretrained("nielsr/udop-large") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use nielsr/udop-large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nielsr/udop-large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nielsr/udop-large
- SGLang
How to use nielsr/udop-large 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 "nielsr/udop-large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "nielsr/udop-large" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nielsr/udop-large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nielsr/udop-large with Docker Model Runner:
docker model run hf.co/nielsr/udop-large
Use of other OCR engine
#2
by deepsh2207 - opened
How can I use any other OCR engine for text extraction instead of tesseract?
Hi,
Refer to this guide regarding usage of UdopProcessor (usage is identical). You basically need to feed the words and boxes yourself to the processor in that case.
See also how this is done here using EasyOCR: https://huggingface.co/spaces/merve/UDOP/blob/main/app.py.
Got it, thanks!
deepsh2207 changed discussion status to closed