Instructions to use SeeThink/STEVE-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SeeThink/STEVE-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="SeeThink/STEVE-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SeeThink/STEVE-7b") model = AutoModelForCausalLM.from_pretrained("SeeThink/STEVE-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SeeThink/STEVE-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SeeThink/STEVE-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SeeThink/STEVE-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SeeThink/STEVE-7b
- SGLang
How to use SeeThink/STEVE-7b 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 "SeeThink/STEVE-7b" \ --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": "SeeThink/STEVE-7b", "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 "SeeThink/STEVE-7b" \ --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": "SeeThink/STEVE-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SeeThink/STEVE-7b with Docker Model Runner:
docker model run hf.co/SeeThink/STEVE-7b
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Check out the documentation for more information.
See and Think: Embodied Agent in Virtual Environment
Zhonghan Zhao1* , Wenhao Chai*2❤, Xuan Wang1*, Li Boyi1, Shengyu Hao1, Shidong Cao1, Tian Ye3, Jenq-Neng Hwang2, Gaoang Wang1✉ 1 Zhejiang University 2 University of Washington 3 Hong Kong University of Science and Technology (GZ) *Equal contribution ❤Project lead ✉Corresponding author
STEVE, named after the protagonist of the game Minecraft, is our proposed framework aims to build an embodied agent based on the vision model and LLMs within an open world.
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