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https://github.com/ai-forever/ru-prompts

https://github.com/ai-forever/ru-prompts

Science Score: 26.0%

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Last synced: 10 months ago · JSON representation

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  • Stars: 58
  • Watchers: 6
  • Forks: 5
  • Open Issues: 3
  • Releases: 0
Created over 4 years ago · Last pushed over 2 years ago
Metadata Files
Readme License

README.md

ruPrompts

ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with HuggingFace Hub, configuration system powered by Hydra, and command line interface.

Prompt is a text instruction for language model, like

Translate English to French: cat =>

For some tasks the prompt is obvious, but for some it isn't. With ruPrompts you can define only the prompt format, like <P*10>{text}<P*10>, and train it automatically for any task, if you have a training dataset.

You can currently use ruPrompts for text-to-text tasks, such as summarization, detoxification, style transfer, etc., and for styled text generation, as a special case of text-to-text.

Features

  • Modular structure for convenient extensibility
  • Integration with HF Transformers, support for all models with LM head
  • Integration with HF Hub for sharing and loading pretrained prompts
  • CLI and configuration system powered by Hydra
  • Pretrained prompts for ruGPT-3

Installation

ruPrompts can be installed with pip:

sh pip install ruprompts[hydra]

See Installation for other installation options.

Usage

Loading a pretrained prompt for styled text generation:

```py

import ruprompts from transformers import pipeline

pplnjoke = pipeline("text-generation-with-prompt", prompt="konodyuk/promptrugpt3largejoke") pplnjoke("Говорит кружка ложке") [{"generated_text": 'Говорит кружка ложке: "Не бойся, не утонешь!".'}] ```

For text2text tasks:

```py

pplndetox = pipeline("text2text-generation-with-prompt", prompt="konodyuk/promptrugpt3largedetoxrusse") pplndetox("Опять эти тупые дятлы все испортили, чтоб их черти взяли") [{"generatedtext": 'Опять эти люди все испортили'}] ```

Proceed to Quick Start for a more detailed introduction or start using ruPrompts right now with our Colab Tutorials.

License

ruPrompts is Apache 2.0 licensed. See the LICENSE file for details.

Owner

  • Name: AI Forever
  • Login: ai-forever
  • Kind: organization
  • Location: Armenia

Creating ML for the future. AI projects you already know. We are non-profit organization with members from all over the world.

GitHub Events

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Last synced: 11 months ago

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  • Average comments per issue: 1.25
  • Average comments per pull request: 3.0
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Top Authors
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  • Diyago (1)
  • z00logist (1)
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  • iamwavecut (2)
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Dependencies

pyproject.toml pypi
  • black ^21.12b0 develop
  • hypothesis ^6.31.3 develop
  • isort ^5.10.1 develop
  • mkdocs ^1.2.3 develop
  • mkdocs-material ^8.1.0 develop
  • mkdocs-simple-hooks ^0.1.3 develop
  • mkdocstrings ^0.16.2 develop
  • pytest ^6.2.5 develop
  • pytest-cov ^3.0.0 develop
  • datasets ^1.16.1
  • hydra-core ^1.1.0
  • python ^3.7
  • torch ^1.10.0
  • torchtyping ^0.1.4
  • transformers ^4.6.0
  • typeguard ^2.13.3
  • typing-extensions ^4.0.1
.github/workflows/on-push.yaml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
setup.py pypi