Shreshth Gandhi Claude commited on
Commit ยท
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Parent(s): f6415d9
Add blog post link to quick links section
Browse files- Added blog post as first link in Quick Links with sparkles emoji
- Links now ordered: Blog โ Preprint โ GitHub โ Demo
๐ค Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
README.md
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Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the _Tahoe-100M_ perturbation compendium, Tahoe-x1 achieves state-of-the-art performance on cancer-relevant tasks with 3โ30ร higher compute efficiency than other cell-state models.
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**Quick Links:**
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- ๐ [**Preprint**](https://www.biorxiv.org/content/10.1101/2025.10.23.683759v1) - Read our preprint on bioRxiv
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- ๐ป [**GitHub Repository**](https://github.com/tahoebio/tahoe-x1) - Access the code
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- ๐ฎ [**Interactive Demo**](https://huggingface.co/spaces/tahoebio/tx1-demo) - Try the model with no code required!
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Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the _Tahoe-100M_ perturbation compendium, Tahoe-x1 achieves state-of-the-art performance on cancer-relevant tasks with 3โ30ร higher compute efficiency than other cell-state models.
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**Quick Links:**
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- โจ [**Blog Post**](https://www.tahoebio.ai/news/tahoe-x1-blog) - Read our announcement
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- ๐ [**Preprint**](https://www.biorxiv.org/content/10.1101/2025.10.23.683759v1) - Read our preprint on bioRxiv
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- ๐ป [**GitHub Repository**](https://github.com/tahoebio/tahoe-x1) - Access the code
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- ๐ฎ [**Interactive Demo**](https://huggingface.co/spaces/tahoebio/tx1-demo) - Try the model with no code required!
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