From 58a16aad949f35aee098c9ca51e5679e1ad3545a Mon Sep 17 00:00:00 2001 From: Sang Choe Date: Fri, 7 Jun 2024 09:50:54 -0400 Subject: [PATCH] Update README.md --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index dcb6418..d18df7b 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,9 @@ ## Introduction With a few additional lines of code, (traditional) **logging** supports tracking loss, hyperparameters, etc., providing _basic_ insights for users' AI/ML experiments. But...can we also enable _in-depth understanding of large-scale training data_, the most important ingredient in -AI/ML, with a similar logging interface? Try out LogIX that is built upon our cutting-edge data valuation/attribution research! +AI/ML, with a similar logging interface? Try out LogIX that is built upon our cutting-edge data valuation/attribution research (Support +[Huggingface Transformers](https://github.com/logix-project/logix/tree/main?tab=readme-ov-file#huggingface-integration) and +[PyTorch Lightning](https://github.com/logix-project/logix/tree/main?tab=readme-ov-file#pytorch-lightning-integration) integrations)! - **PyPI** (Default) ```bash