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PEFT: Parameter-Efficient Fine-Tuning of Billion-Scale Models on Low-Resource Hardware
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's paramete
PEFT позволяют добиться высокой производительности моделей на слабом железе, с небольшым количество обучаемых данных, .
PEFT: Parameter-Efficient Fine-Tuning of Billion-Scale Models on Low-Resource Hardware
Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient adaptation of pre-trained language models (PLMs) to various downstream applications without fine-tuning all the model's paramete
PEFT позволяют добиться высокой производительности моделей на слабом железе, с небольшым количество обучаемых данных, .
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