https://github.com/xerrors/labelprompt

code for LabelPrompt: Effective Prompt-based Learning for Relation Classification
https://github.com/xerrors/labelprompt

Last synced: 3 months ago
JSON representation

code for LabelPrompt: Effective Prompt-based Learning for Relation Classification

• Host: GitHub
• URL: https://github.com/xerrors/labelprompt
• Owner: xerrors
• Created: 2023-09-03T17:00:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-26T15:14:39.000Z (9 months ago)
• Last Synced: 2025-01-07T22:42:54.150Z (5 months ago)
• Language: Python
• Size: 67.4 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# LabelPrompt

code for LabelPrompt: Effective Prompt-based Learning for Relation Classification

## Setup

To set up the environment, follow these steps:

```sh

conda create -n labelprompt python=3.8

conda activate labelprompt

pip install -r requirements.txt

```

## Dataset

The dataset can be found at [KnowPrompt](https://github.com/zjunlp/KnowPrompt).

### for few-shot

To generate few-shot datasets, run the following command:

```sh

python genetate_k_shot.py --dataset retacred --data_file train.txt

```

## Run

To run the model, use the following command:

```sh

python main.py --gpu 0 --dataset retacred --data_path ./dataset/retacred/k-shot/8-1

```