https://ift.tt/fgX7NV9 Introduction The current trend in NLP includes downloading and fine-tuning pre-trained models with millions or even ...
Introduction The current trend in NLP includes downloading and fine-tuning pre-trained models with millions or even billions of parameters. However, storing and sharing such large trained models is time-consuming, slow, and expensive. These constraints hinder the development of more multi-purpose and adaptable NLP techniques with the RoBERTa model that can learn from and for multiple […]
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https://www.analyticsvidhya.com/blog/2023/04/training-an-adapter-for-roberta-model-for-sequence-classification-task/
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