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