tfhub.de -> tfhub.dev (#12565)

examples/flax/language-modeling/README.md

@@ -149,7 +149,7 @@ Next we can run the example script to pretrain the model:
 Training should converge at a loss and accuracy 
 of 1.78 and 0.64 respectively after 18 epochs on a single TPUv3-8.
 This should take less than 18 hours.
-Training statistics can be accessed on [tfhub.de](https://tensorboard.dev/experiment/GdYmdak2TWeVz0DDRYOrrg).
+Training statistics can be accessed on [tfhub.dev](https://tensorboard.dev/experiment/GdYmdak2TWeVz0DDRYOrrg).
 
 For a step-by-step walkthrough of how to do masked language modeling in Flax, please have a 
 look at [this](https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/masked_language_modeling_flax.ipynb) google colab.