Supplementary material for "Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to Adapters"
APACHE-2.0 License
Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Ad...
Simple UI for LLM Model Finetuning
This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Mo...
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Text-Klassifizierer Coding Challenge im Bereich Machine Learning
A PyTorch implementation of the Transformer model in "Attention is All You Need".
This repository contains demos I made with the Transformers library by HuggingFace.
Domain adaptation made easy. Fully featured, modular, and customizable.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.