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@@ -160,7 +160,7 @@ It is also possible to perform fine-tuning on the models, and recommended for co
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  - ViT-Adapter (cell and tissue segmentation): https://github.com/czczup/ViT-Adapter
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  - LGSSL (Linear Probe & Few-Shot Eval): https://github.com/mbanani/lgssl
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- ## License
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  This model and associated code are released under the CC-BY-NC-ND 4.0 license and may only be used for non-commercial, academic research purposes with proper attribution. Any commercial use, sale, or other monetization of the UNI model and its derivatives, which include models trained on outputs from the UNI model or datasets created from the UNI model, is prohibited and requires prior approval. Downloading the model requires prior registration on Hugging Face and agreeing to the terms of use. By downloading this model, you agree not to distribute, publish or reproduce a copy of the model. If another user within your organization wishes to use the UNI model, they must register as an individual user and agree to comply with the terms of use. Users may not attempt to re-identify the deidentified data used to develop the underlying model. If you are a commercial entity, please contact the corresponding author or Mass General Brigham Innovation Office.
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  - ViT-Adapter (cell and tissue segmentation): https://github.com/czczup/ViT-Adapter
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  - LGSSL (Linear Probe & Few-Shot Eval): https://github.com/mbanani/lgssl
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+ ## License and Terms of Use
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  This model and associated code are released under the CC-BY-NC-ND 4.0 license and may only be used for non-commercial, academic research purposes with proper attribution. Any commercial use, sale, or other monetization of the UNI model and its derivatives, which include models trained on outputs from the UNI model or datasets created from the UNI model, is prohibited and requires prior approval. Downloading the model requires prior registration on Hugging Face and agreeing to the terms of use. By downloading this model, you agree not to distribute, publish or reproduce a copy of the model. If another user within your organization wishes to use the UNI model, they must register as an individual user and agree to comply with the terms of use. Users may not attempt to re-identify the deidentified data used to develop the underlying model. If you are a commercial entity, please contact the corresponding author or Mass General Brigham Innovation Office.
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