Instructions to use SenseLLM/SpiritSight-Agent-26B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SenseLLM/SpiritSight-Agent-26B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="SenseLLM/SpiritSight-Agent-26B")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SenseLLM/SpiritSight-Agent-26B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use SenseLLM/SpiritSight-Agent-26B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SenseLLM/SpiritSight-Agent-26B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SenseLLM/SpiritSight-Agent-26B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/SenseLLM/SpiritSight-Agent-26B
- SGLang
How to use SenseLLM/SpiritSight-Agent-26B 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 "SenseLLM/SpiritSight-Agent-26B" \ --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": "SenseLLM/SpiritSight-Agent-26B", "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 "SenseLLM/SpiritSight-Agent-26B" \ --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": "SenseLLM/SpiritSight-Agent-26B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use SenseLLM/SpiritSight-Agent-26B with Docker Model Runner:
docker model run hf.co/SenseLLM/SpiritSight-Agent-26B
Add pipeline tag, project page and link to Github
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by nielsr HF Staff - opened
README.md
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license: apache-2.0
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base_model:
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- InternVL/InternVL2-26B
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---
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## SpiritSight Agent: Advanced GUI Agent with One Look
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<p align="center">
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<a href="https://arxiv.org/abs/2503.03196">📄 Paper</a> •
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<a href="https://huggingface.co/SenseLLM/SpiritSight-Agent-26B">🤖 Models</a> •
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<a href="" style="pointer-events: none">📚 Datasets (Coming soon…)</a>
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</p>
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- [GUI-Odyssey](https://github.com/OpenGVLab/GUI-Odyssey)
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- [AMEX](https://huggingface.co/datasets/Yuxiang007/AMEX)
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- [AndroidControl](https://github.com/google-research/google-research/tree/master/android_control)
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- [GUICourse](https://github.com/yiye3/GUICourse)
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---
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base_model:
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- InternVL/InternVL2-26B
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license: apache-2.0
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pipeline_tag: image-text-to-text
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library_name: transformers
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---
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## SpiritSight Agent: Advanced GUI Agent with One Look
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<p align="center">
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<a href="https://arxiv.org/abs/2503.03196">📄 Paper</a> •
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<a href="https://huggingface.co/SenseLLM/SpiritSight-Agent-26B">🤖 Models</a> •
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<a href="" style="pointer-events: none">📚 Datasets (Coming soon…)</a> •
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<a href="https://hzhiyuan.github.io/SpiritSight-Agent">🌐 Project Page</a> •
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<a href="https://github.com/THU-BPM/SpiritSight">💻 Github Page</a>
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</p>
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- [GUI-Odyssey](https://github.com/OpenGVLab/GUI-Odyssey)
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- [AMEX](https://huggingface.co/datasets/Yuxiang007/AMEX)
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- [AndroidControl](https://github.com/google-research/google-research/tree/master/android_control)
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- [GUICourse](https://github.com/yiye3/GUICourse)
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