Image-Text-to-Text
Transformers
Safetensors
dots3_note
text-generation
dots3
dots3-note
audio
multimodal
long-context
agentic
conversational
Eval Results
Instructions to use dots-studio/dots3-note-prev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dots-studio/dots3-note-prev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="dots-studio/dots3-note-prev") 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 AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("dots-studio/dots3-note-prev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use dots-studio/dots3-note-prev with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "dots-studio/dots3-note-prev" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "dots-studio/dots3-note-prev", "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/dots-studio/dots3-note-prev
- SGLang
How to use dots-studio/dots3-note-prev 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 "dots-studio/dots3-note-prev" \ --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": "dots-studio/dots3-note-prev", "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 "dots-studio/dots3-note-prev" \ --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": "dots-studio/dots3-note-prev", "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 dots-studio/dots3-note-prev with Docker Model Runner:
docker model run hf.co/dots-studio/dots3-note-prev
| { | |
| "<|alttext|>": 151711, | |
| "<|assistant|>": 151667, | |
| "<|audio_comp_end|>": 151719, | |
| "<|audio_comp_pad|>": 151720, | |
| "<|audio_comp_start|>": 151718, | |
| "<|audio_gen_end|>": 151716, | |
| "<|audio_gen_pad|>": 151717, | |
| "<|audio_gen_start|>": 151715, | |
| "<|box_end|>": 151670, | |
| "<|box_start|>": 151669, | |
| "<|discarddensecaption|>": 151712, | |
| "<|endofalttext|>": 151713, | |
| "<|endofassistant|>": 151668, | |
| "<|endofexecution|>": 151655, | |
| "<|endofimg|>": 151662, | |
| "<|endofobservation|>": 151653, | |
| "<|endofpdfmeta|>": 151710, | |
| "<|endofresponse|>": 151649, | |
| "<|endofslice|>": 151678, | |
| "<|endofsystemprompt|>": 151664, | |
| "<|endofsystem|>": 151651, | |
| "<|endoftext|>": 151643, | |
| "<|endofurl|>": 151708, | |
| "<|endofuserprompt|>": 151647, | |
| "<|endofuser|>": 151666, | |
| "<|execution|>": 151654, | |
| "<|im_end>": 151659, | |
| "<|im_end|>": 151645, | |
| "<|im_start|>": 151644, | |
| "<|imgpad|>": 151660, | |
| "<|imgrowend|>": 151679, | |
| "<|img|>": 151661, | |
| "<|observation|>": 151652, | |
| "<|pdfmeta|>": 151709, | |
| "<|pictotext|>": 151676, | |
| "<|pic|>": 151674, | |
| "<|polygon_end|>": 151682, | |
| "<|polygon_start|>": 151681, | |
| "<|ref_end|>": 151672, | |
| "<|ref_start|>": 151671, | |
| "<|reject-unknown|>": 151656, | |
| "<|response|>": 151648, | |
| "<|sec-cot|>": 151657, | |
| "<|sec-end-cot|>": 151658, | |
| "<|slice|>": 151677, | |
| "<|systemprompt|>": 151663, | |
| "<|system|>": 151650, | |
| "<|task:doc layout with format json|>": 151700, | |
| "<|task:image captioning|>": 151701, | |
| "<|task:image en-captioning|>": 151683, | |
| "<|task:image en-concept|>": 151689, | |
| "<|task:image en-dense-captioning|>": 151687, | |
| "<|task:image grounding|>": 151691, | |
| "<|task:image orientation|>": 151692, | |
| "<|task:image zh-captioning|>": 151684, | |
| "<|task:image zh-concept|>": 151690, | |
| "<|task:image zh-dense-captioning|>": 151688, | |
| "<|task:object detection|>": 151685, | |
| "<|task:ocr of chart with format matplotlib|>": 151697, | |
| "<|task:ocr of chart with format mermaid|>": 151698, | |
| "<|task:ocr of molecule with format molgrapher|>": 151695, | |
| "<|task:ocr of staff with format ekern|>": 151696, | |
| "<|task:ocr with format html|>": 151705, | |
| "<|task:ocr with format image captioning|>": 151703, | |
| "<|task:ocr with format json|>": 151694, | |
| "<|task:ocr with format latex|>": 151693, | |
| "<|task:ocr with nodes,lines and circle|>": 151704, | |
| "<|task:ocr-detection and recognition|>": 151699, | |
| "<|task:ocr|>": 151686, | |
| "<|task:table captioning|>": 151702, | |
| "<|task:video captioning|>": 151706, | |
| "<|text|>": 151675, | |
| "<|to_think|>": 151714, | |
| "<|url|>": 151707, | |
| "<|userprompt|>": 151646, | |
| "<|user|>": 151665, | |
| "<|video_pad|>": 151680, | |
| "[SEP]": 151673, | |
| "<think>": 151721, | |
| "</think>": 151722, | |
| "<no_think>": 151723, | |
| "<dots_function_call>": 151724, | |
| "</dots_function_call>": 151725, | |
| "<dots_function_response>": 151726, | |
| "</dots_function_response>": 151727 | |
| } |