OpenPrompt

An Open-source Framework for Prompt-learning.

Visit Website β†’

Overview

OpenPrompt is an open-source framework designed to facilitate prompt-learning, a technique for adapting pre-trained language models (PLMs) to various NLP tasks. It provides a standardized, flexible, and extensible framework for deploying the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from Hugging Face Transformers and aims to make prompt-learning more accessible to researchers and practitioners.

✨ Key Features

  • Open-source framework for prompt-learning
  • Standardized and flexible pipeline for adapting PLMs
  • Support for loading models from Hugging Face Transformers
  • Extensible with custom templates and verbalizers

🎯 Key Differentiators

  • Focus on the prompt-learning paradigm
  • Designed for researchers and practitioners in NLP

Unique Value: Provides a powerful and flexible framework for researchers and developers to explore and apply the prompt-learning paradigm to a wide range of NLP tasks.

🎯 Use Cases (3)

Adapting pre-trained language models to new NLP tasks Research and experimentation with prompt-learning Developing few-shot and zero-shot learning models

πŸ’» Platforms

Python

πŸ”Œ Integrations

Hugging Face Transformers PyTorch

πŸ’° Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source and free to use

Visit OpenPrompt Website β†’