Image-Text-to-Text
Transformers
Safetensors
German
ocr
vision-language
lightonocr
document-understanding
german
shorthand
manuscript
medieval
conversational
Instructions to use wjbmattingly/LightOnOCR-2-1B-german-shorthand-line with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wjbmattingly/LightOnOCR-2-1B-german-shorthand-line with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="wjbmattingly/LightOnOCR-2-1B-german-shorthand-line") 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("wjbmattingly/LightOnOCR-2-1B-german-shorthand-line", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use wjbmattingly/LightOnOCR-2-1B-german-shorthand-line with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line", "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/wjbmattingly/LightOnOCR-2-1B-german-shorthand-line
- SGLang
How to use wjbmattingly/LightOnOCR-2-1B-german-shorthand-line 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 "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line" \ --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": "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line", "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 "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line" \ --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": "wjbmattingly/LightOnOCR-2-1B-german-shorthand-line", "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 wjbmattingly/LightOnOCR-2-1B-german-shorthand-line with Docker Model Runner:
docker model run hf.co/wjbmattingly/LightOnOCR-2-1B-german-shorthand-line
File size: 969 Bytes
e6e1fa7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"image_break_token": "<|vision_pad|>",
"image_end_token": "<|vision_end|>",
"image_token": "<|image_pad|>",
"is_local": false,
"max_length": null,
"model_max_length": 131072,
"model_specific_special_tokens": {},
"pad_to_multiple_of": null,
"pad_token": "<|endoftext|>",
"pad_token_type_id": 0,
"padding_side": "left",
"processor_class": "LightOnOcrProcessor",
"split_special_tokens": false,
"tokenizer_class": "TokenizersBackend",
"unk_token": null
}
|