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Implement prompt tuning on a GPT-2 small model using PyTorch and fine-tune it on three tasks: summarization, question answering, and machine translation.

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Prompt-Engineering-BERT-NLP

Implement prompt tuning on a GPT-2 small model using PyTorch and fine-tune it on three tasks: summarization, question answering, and machine translation.

The original links to the jupyter notebooks are attacked bwelow which will redirect you to kaggle notebooks.

These will give you access to Datasets, Contact the author for more details / issues.

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Implement prompt tuning on a GPT-2 small model using PyTorch and fine-tune it on three tasks: summarization, question answering, and machine translation.

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