🤗 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, . 🖥 Github: https://github.com/huggingface/peft 💨 Hugging Face: https://huggingface.co/blog/peft 🖥 Colab: colab.research.google.com/drive/1…mJGOMo-o ai_machinelearning_big_data