This is stars and forks stats for /huggingface/peft repository. As of 20 Apr, 2024 this repository has 10076 stars and 821 forks.
🤗 PEFT State-of-the-art Parameter-Efficient Fine-Tuning (PEFT) methods 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 parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art...
🤗 PEFT State-of-the-art Parameter-Efficient Fine-Tuning (PEFT) methods 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 parameters. Fine-tuning large-scale PLMs is often prohibitively costly. In this regard, PEFT methods only fine-tune a small number of (extra) model parameters, thereby greatly decreasing the computational and storage costs. Recent State-of-the-Art...
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