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GPT-2 Autoregressive Text Generation by esrikaran is a document available to read on EtoBox.

What is GPT-2 Autoregressive Text Generation about?

The document provides a code example for autoregressive text generation using the GPT-2 model with key-value caching. It demonstrates how to load the model and tokenizer, generate text based on a prompt, and manage the generation process using past key values for efficiency. The final output is printed after generating a specified number of new tokens or reaching the end-of-sequence token.

Author

esrikaran

Language

EN