From f2fe83abc475af5eb8c9cd6cffeaa866a5a6d17d Mon Sep 17 00:00:00 2001 From: Craig Citro Date: Thu, 1 Nov 2018 00:07:55 -0700 Subject: [PATCH] Fix the colab hostname in README.md. External references should all be to colab.research. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 6bfef6f..e69822e 100644 --- a/README.md +++ b/README.md @@ -206,7 +206,7 @@ the following flags to `run_classifier.py` or `run_squad.py`: Please see the [Google Cloud TPU tutorial](https://cloud.google.com/tpu/docs/tutorials/mnist) for how to use Cloud TPUs. Alternatively, you can use the Google Colab notebook -"[BERT FineTuning with Cloud TPUs](https://colab.sandbox.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb)". +"[BERT FineTuning with Cloud TPUs](https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb)". On Cloud TPUs, the pretrained model and the output directory will need to be on Google Cloud Storage. For example, if you have a bucket named `some_bucket`, you @@ -724,9 +724,9 @@ available. However, keep in mind that these are not compatible with our ## Using BERT in Colab -If you want to use BERT with [Colab](https://colab.sandbox.google.com), you can +If you want to use BERT with [Colab](https://colab.research.google.com), you can get started with the notebook -"[BERT FineTuning with Cloud TPUs](https://colab.sandbox.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb)". +"[BERT FineTuning with Cloud TPUs](https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb)". **At the time of this writing (October 31st, 2018), Colab users can access a Cloud TPU completely for free.** Note: One per user, availability limited, requires a Google Cloud Platform account with storage (although storage may be -- GitLab