Add pipeline tag and paper link
#1
by nielsr HF Staff - opened
README.md
CHANGED
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@@ -1,7 +1,8 @@
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---
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license: other
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base_model:
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- Wan-AI/Wan2.2-TI2V-5B
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tags:
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- pytorch
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- end-to-end-autonomous-driving
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- navsim
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---
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<h1 align="center">SimWAM: A Simple World Action Model for End-to-End Autonomous Driving</h1>
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<div align="center">
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<a href="https://github.com/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/GitHub-Repository-green?logo=github" alt="GitHub repository"></a>
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<a href="https://huggingface.co/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface" alt="Hugging Face model"></a>
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<h5>
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SimWAM performs end-to-end ego-trajectory planning from a single front-facing camera observation and vehicle-conditioning information.
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Because autonomous-driving trajectory planning does not correspond to a standard Hugging Face inference pipeline, this model repository uses `pipeline_tag:
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| Benchmark | Inputs | Output | Prediction horizon | Sensor configuration |
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| --- | --- | --- | ---: | --- |
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## 🔗 Links
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- **Hugging Face:** https://huggingface.co/H-EmbodVis/SimWAM
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- **GitHub:** https://github.com/H-EmbodVis/SimWAM
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- **NAVSIM:** https://github.com/autonomousvision/navsim
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---
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base_model:
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- Wan-AI/Wan2.2-TI2V-5B
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license: other
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pipeline_tag: robotics
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tags:
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- pytorch
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- end-to-end-autonomous-driving
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- navsim
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---
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<h1 align="center">SimWAM: A Simple World Action Model for End-to-End Autonomous Driving</h1>
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<div align="center">
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<a href="https://github.com/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/GitHub-Repository-green?logo=github" alt="GitHub repository"></a>
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<a href="https://huggingface.co/H-EmbodVis/SimWAM"><img src="https://img.shields.io/badge/Hugging%20Face-Model-yellow?logo=huggingface" alt="Hugging Face model"></a>
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<a href="https://huggingface.co/papers/2608.07468"><img src="https://img.shields.io/badge/Paper-arXiv-b31b1b?logo=arxiv&logoColor=white" alt="Paper"></a>
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<h5>
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SimWAM performs end-to-end ego-trajectory planning from a single front-facing camera observation and vehicle-conditioning information.
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Because autonomous-driving trajectory planning does not correspond to a standard Hugging Face inference pipeline, this model repository uses `pipeline_tag: robotics`.
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| Benchmark | Inputs | Output | Prediction horizon | Sensor configuration |
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| --- | --- | --- | ---: | --- |
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## 🔗 Links
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- **Paper:** https://huggingface.co/papers/2608.07468
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- **Hugging Face:** https://huggingface.co/H-EmbodVis/SimWAM
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- **GitHub:** https://github.com/H-EmbodVis/SimWAM
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- **NAVSIM:** https://github.com/autonomousvision/navsim
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