Add pipeline tag, library name, and Hugging Face paper link

#1
by nielsr HF Staff - opened
Files changed (1) hide show
  1. README.md +15 -2
README.md CHANGED
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  ---
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  license: mit
 
 
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  ---
 
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  <div align="center">
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  <img src="logo.png" alt="Orion-MSP Logo" width="700"/>
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  </div>
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  # Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
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- Orion-MSP is a tabular foundation model for in-context learning. It uses multi-scale sparse attention and Perceiver-style memory to process tabular data at multiple granularities, capturing both local feature interactions and global dataset-level patterns.
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  ## Key Features
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@@ -432,4 +435,14 @@ If you use Orion-MSP, please cite our [paper](https://arxiv.org/abs/2511.02818):
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  primaryClass={cs.AI},
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  url={https://arxiv.org/abs/2511.02818},
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  }
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- ```
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ library_name: scikit-learn
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+ pipeline_tag: other
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  ---
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+
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  <div align="center">
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  <img src="logo.png" alt="Orion-MSP Logo" width="700"/>
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  </div>
 
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  # Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
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+ Orion-MSP is a tabular foundation model for in-context learning, presented in the paper [Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning](https://huggingface.co/papers/2511.02818). It uses multi-scale sparse attention and Perceiver-style memory to process tabular data at multiple granularities, capturing both local feature interactions and global dataset-level patterns.
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  ## Key Features
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  primaryClass={cs.AI},
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  url={https://arxiv.org/abs/2511.02818},
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  }
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+ ```
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+
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+ ## License
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+ This project is released under the MIT License. See [LICENSE](LICENSE) for details.
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+ ## Contact
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+ For questions, issues, or contributions, please:
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+ - Open an issue on [GitHub](https://github.com/Lexsi-Labs/Orion-MSP/issues)
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+ - Join our [Discord](https://discord.gg/dSB62Q7A) community