From a87cc9a0ad4a23a2e81ce93b8c15f2857f182880 Mon Sep 17 00:00:00 2001 From: Anthony Gitter Date: Fri, 25 Oct 2024 13:59:30 -0500 Subject: [PATCH] Add Hugging Face links --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 590ecae..c5b37f1 100644 --- a/README.md +++ b/README.md @@ -6,10 +6,11 @@ This repository contains the Mutational Effect Transfer Learning (METL) framewor You can use it to train models on your own data or recreate the results from our manuscript. This framework uses [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/). -- To run our pretrained METL [models](https://zenodo.org/doi/10.5281/zenodo.11051644) in pure PyTorch with minimal software dependencies, see our [metl-pretrained](https://github.com/gitter-lab/metl-pretrained) repository. +- To run our pretrained METL [models](https://zenodo.org/doi/10.5281/zenodo.11051644) locally in pure PyTorch with minimal software dependencies, see our [metl-pretrained](https://github.com/gitter-lab/metl-pretrained) repository. - To recreate the results from our preprint, see our [metl-pub](https://github.com/gitter-lab/metl-pub) repository and Zenodo [datasets](https://zenodo.org/doi/10.5281/zenodo.10967412). - To run your own molecular simulations, see our [metl-sim](https://github.com/gitter-lab/metl-sim) repository. -- See the [notebooks](notebooks) directory for links to Colab notebooks. +- To finetune or generate predictions with pretrained METL models in Colab, see the [notebooks](notebooks) directory for links to Colab notebooks. +- To generate predictions with pretrained METL models in Hugging Face, see the METL [demo](https://huggingface.co/spaces/gitter-lab/METL_demo) and [model card](https://huggingface.co/gitter-lab/METL). For more information, please see our manuscript: