GPT-2 from scratch with torch
This article is originally published at https://blogs.rstudio.com/tensorflow/Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor to the original GPT. In the end, you'll dispose of an R-native model that can make direct use of Hugging Face's pre-trained GPT-2 model weights.
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This article is originally published at https://blogs.rstudio.com/tensorflow/
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