Image-Text-to-Text
Transformers
Safetensors
Chinese
English
vision-encoder-decoder
document-parsing
document-understanding
document-intelligence
ocr
layout-analysis
table-extraction
multimodal
vision-language-model
Instructions to use ByteDance/Dolphin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ByteDance/Dolphin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="ByteDance/Dolphin")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("ByteDance/Dolphin") model = AutoModelForImageTextToText.from_pretrained("ByteDance/Dolphin") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ByteDance/Dolphin with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ByteDance/Dolphin" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ByteDance/Dolphin", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ByteDance/Dolphin
- SGLang
How to use ByteDance/Dolphin 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 "ByteDance/Dolphin" \ --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": "ByteDance/Dolphin", "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 "ByteDance/Dolphin" \ --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": "ByteDance/Dolphin", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ByteDance/Dolphin with Docker Model Runner:
docker model run hf.co/ByteDance/Dolphin
Github links in the readme are broken
#1
by adi751 - opened
Hi, I am trying to access your repo to check out detailed usage information, but I am getting a 404-repo not found. Maybe the repo is set to private.....
Thanks for your attention to our work! We will release our GitHub repository, paper and related content within this week, so please stay tuned :D
That's great to know. Thanks for the update!