link to examples

README.md

@@ -71,6 +71,18 @@ Results on 1,000 protein pairs from the validation dataset, during training:
 
 Scatter plots comparing the full and 128-dim embeddings to the original embeddings, using pairs from the test set: https://colab.research.google.com/drive/1hm4IIMXaLt_7QYRNvkiXl5BqmsHdC1Ue?usp=sharing
 
+## Finetuning / Tasks
+
+One of the more popular evaluations is [Tasks Assessing Protein Embeddings (TAPE)](https://github.com/songlab-cal/tape)
+
+Example using SciKit-Learn to train on Fluorescene, a regression task: https://colab.research.google.com/drive/1cH9jOBSC56mqJHU_6ztQPp6qWJguNjAn?usp=sharing
+
+TBD: example using SciKit-Learn on a classification task
+
+TBD: example using Sentence-Transformers to [finetune embeddings](https://huggingface.co/blog/train-sentence-transformers) for a TAPE regression or classification task
+
+TBD: examples using plant proteins from [greenbeing-binary](https://huggingface.co/datasets/monsoon-nlp/greenbeing-binary) to train a binary classifier
+
 ## Future
 
 This page will be updated when I have examples using it on protein classification tasks.