Add pipeline tag and paper link
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by nielsr HF Staff - opened
README.md
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license: mit
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library_name: pytorch
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tags:
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---
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# CellWorld pretrained models
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This repository contains the four canonical CellWorld pretrained
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models used for model-scale experiments. CellWorld is a joint-embedding
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predictive architecture for spatial transcriptomics.
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Source code: https://github.com/UoM-HealthAI/CellWorld
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Released under the MIT License.
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library_name: pytorch
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license: mit
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pipeline_tag: other
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tags:
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- spatial-transcriptomics
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- self-supervised-learning
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- jepa
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# CellWorld pretrained models
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CellWorld is introduced in the paper [CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial Transcriptomics Foundation Models](https://huggingface.co/papers/2608.06659).
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This repository contains the four canonical CellWorld pretrained
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models used for model-scale experiments. CellWorld is a joint-embedding
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predictive architecture for spatial transcriptomics.
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Source code: https://github.com/UoM-HealthAI/CellWorld
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Released under the MIT License.
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