From 04bc967890d1c7f5096d2c553764457716dbf16a Mon Sep 17 00:00:00 2001 From: Wenlei Xie Date: Tue, 21 Jun 2022 22:01:53 -0700 Subject: [PATCH] Update links in README --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index c23de4e0e..f3e6a1432 100644 --- a/README.md +++ b/README.md @@ -41,7 +41,7 @@ If you are installing from source, you will need Python 3.7 or later and a C++17 #### Get the TorchArrow Source ```bash -git clone --recursive https://github.com/facebookresearch/torcharrow +git clone --recursive https://github.com/pytorch/torcharrow cd torcharrow # if you are updating an existing checkout git submodule sync --recursive @@ -90,9 +90,9 @@ python setup.py install ## Documentation -You can find the API documentation [here](https://facebookresearch.github.io/torcharrow/) +You can find the API documentation [here](https://pytorch.org/torcharrow/). -This [10 minutes tutorial](https://github.com/facebookresearch/torcharrow/blob/main/tutorial/tutorial.ipynb) provides a short introduction to TorchArrow, and you can also try it in [this Colab](https://colab.research.google.com/drive/1mQ3S6dwmU-zhBe2Tdvq_VRAnjQ3paiay). +This [10 minutes tutorial](https://github.com/pytorch/torcharrow/blob/main/tutorial/tutorial.ipynb) provides a short introduction to TorchArrow, and you can also try it in [this Colab](https://colab.research.google.com/drive/1mQ3S6dwmU-zhBe2Tdvq_VRAnjQ3paiay). ## Examples You can find the example about integrating a TorchRec based training loop utilizing TorchArrow's on-the-fly preprocessing