vipgupta / LaFT

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🐠 Layer-selection for Fine-Tuning (LaFT)

This repo shows the implementation of the LaFT-based parameter-efficient finetuning.

Install

The installation is for Linux

  1. Clone this repository and navigate to the LaFT folder
    git clone https://github.com/vipgupta/LaFT.git
    cd LaFT
  2. Install dependencies
    conda create -n laft python=3.10 -y
    conda activate laft
    pip install -r requirements.txt

About

License:Apache License 2.0


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Language:Jupyter Notebook 60.9%Language:Python 39.1%