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on't forget to subscribe and click the bell icon, in this video tutorial we are fine-tuning a large version of the transformer model T5 with 24 layers and 770 million parameters for paraphrasing applications. We are using a Nvidia Tesla V100 GPU for this task and have imported necessary libraries such as PyTorch and transformers. The next step involves loading the Google-created dataset called "POSe" which is ideal for fine-tuning for paraphrasing tasks. Additionally, a T5 fine-tuner with defined functions is included to assist in this process.
