Implementation
In this section, we will go through a few tasks using transformers.
Transformer reference implementation: An example of translation
In this section, we will briefly review a transformer reference implementation available at https://www.tensorflow.org/text/tutorials/transformer and specifically, we will use the opportunity to run the code in a Google Colab.
Not everyone realizes the number of GPUs it takes to train a transformer. Luckily, you can play with resources available for free at https://colab.research.google.com/github/tensorflow/text/blob/master/docs/tutorials/transformer.ipynb.
Note that implementing transformers from scratch is probably not the best choice unless you need to realize some very specific customization or you are interested in core research. If you are not interested in learning the internals, then you can skip to the next section. Our tutorial is licensed under the Creative Commons Attribution 4.0 License, and code samples are...
