P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Last update: Dec 30, 2022

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P-tuning v2

P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

An optimized prompt tuning strategy for smaller models and hard natural language understanding (NLU) tasks (e.g., sequence tagging).

This repo is still under construction (2-4 weeks expected). Your kindly starring our repo could encourage us to work harder :)

Owner

THUDM

Data Mining Research Group at Tsinghua University

GitHub Repository

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P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Related tags

Overview

P-tuning v2

Owner

THUDM

Automatic 2D-to-3D Video Conversion with CNNs

Python TFLite scripts for detecting objects of any class in an image without knowing their label.

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