Image-Text-to-Text
Transformers
Safetensors
multilingual
deepseek_vl_v2
feature-extraction
deepseek
unsloth
vision-language
ocr
custom_code
Instructions to use unsloth/DeepSeek-OCR-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unsloth/DeepSeek-OCR-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="unsloth/DeepSeek-OCR-2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unsloth/DeepSeek-OCR-2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use unsloth/DeepSeek-OCR-2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "unsloth/DeepSeek-OCR-2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "unsloth/DeepSeek-OCR-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/unsloth/DeepSeek-OCR-2
- SGLang
How to use unsloth/DeepSeek-OCR-2 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 "unsloth/DeepSeek-OCR-2" \ --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": "unsloth/DeepSeek-OCR-2", "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 "unsloth/DeepSeek-OCR-2" \ --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": "unsloth/DeepSeek-OCR-2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Unsloth Desktop
- Docker Model Runner
How to use unsloth/DeepSeek-OCR-2 with Docker Model Runner:
docker model run hf.co/unsloth/DeepSeek-OCR-2
The model inference seems to be broken
#2
by sovitrath - opened
Getting weird outputs in both grounding and free ocr model for even simple documents which are working fine directly via Hugging Face.
I was going to fine-tune but don't want to fine-tune over a broken pipeline at the moment.
Uploading the image I tested among many along wih the output in the free ocr mode. Anyone else facing similar issue?
TRADER JOE’S
2001 Greenville Ave
Dallas TX 75206
Store #403 - (469) 334-0614
OPEN 8:00AM TO 9:00PM DAILY
R-CARROTS SHREDDED 10 OZ
R-CUCUMBERS PERSIAN 1 LB
BANANAS 4 1/2 LB
TOMATOES CRUSHED NO SALT
ORGANIC WHOLE NO SALT
MINI-PEARL TOMATOES
1.29
1.99
2.49
0.87
0.99
0.99
0.99
0.99
0.99
0.98
0.99
0.99
0.99
0.99
0.89
0.99
0.99
0.99
0.99
0.68
0.68
0.68
The text output goes on like this.