Update README.md

README.md

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----
-license: mit
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+---
+language:
+- en
+metrics:
+- accuracy
+- AUC ROC
+- precision
+- recall
+tags:
+- biology
+- chemistry
+- therapeutic science
+- drug design
+- drug development
+- therapeutics
+library_name: tdc
+license: bsd-2-clause
+---
+The TDC Transformers APi is still under development. You may download PINNACLE pre-trained weights and hyperparameters from the files included.
+
+## Model description
+We introduce PINNACLE, a flexible geometric deep-learning approach that is trained on contextualized protein interaction networks to generate context-PINNACLE protein representations. Leveraging a human multi-organ single-cell transcriptomic atlas, PINNACLE provides 394,760 protein representations split across 156 cell type contexts from 24 tissues and organs. 
+To load the pre-trained model, use the Files and Versions tab files.
+
+## References
+* Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/multi_pred_tasks/scdti/
+* Li, Michelle, et al. “Contextualizing Protein Representations Using Deep Learning on Protein Networks and Single-Cell Data” bioRxiv (2023)