From ddb37c353cb3d74fbc0a4f943f31639d7136f408 Mon Sep 17 00:00:00 2001 From: Sayak Paul Date: Tue, 7 Feb 2023 09:55:07 +0530 Subject: [PATCH] add: correct Colab link. --- examples/image_classification/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/image_classification/README.md b/examples/image_classification/README.md index b0756b3..8973aae 100644 --- a/examples/image_classification/README.md +++ b/examples/image_classification/README.md @@ -1,6 +1,6 @@ # Fine-tuning for image classification using LoRA and 🤗 PEFT -[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sayakpaul/peft/blob/example/img-cls/examples/image_classification/image_classification_peft_lora.ipynb) +[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/sayakpaul/peft/blob/example/img-cls/examples/image_classification/image_classification_peft_lora.ipynb) We provide a notebook (`image_classification_peft_lora.ipynb`) where we learn how to use [LoRA](https://arxiv.org/abs/2106.09685) from 🤗 PEFT to fine-tune an image classification modelby ONLY using **0.6%** of the original trainable parameters of the model.