Use HF papers (#38184)

* Use hf papers

* Hugging Face papers

* doi to hf papers

* style

examples/tensorflow/language-modeling-tpu/README.md

@@ -8,7 +8,7 @@ This example will demonstrate pre-training language models at the 100M-1B parame
 
 We've tried to ensure that all the practices we show you here are scalable, though - with relatively few changes, the code could be scaled up to much larger models. 
 
-Google's gargantuan [PaLM model](https://arxiv.org/abs/2204.02311), with
+Google's gargantuan [PaLM model](https://huggingface.co/papers/2204.02311), with
 over 500B parameters, is a good example of how far you can go with pure TPU training, though gathering the dataset and the budget to train at that scale is not an easy task!
 
 ### Table of contents