PyreFT is a tool by Stanford NLP for fine-tuning transformer models with an emphasis on efficient, resource-conserving training and customizability for NLP tasks.

Features

  • Efficient fine-tuning for transformer models
  • Supports multi-GPU training setups
  • Resource-conserving with low memory usage
  • Customizable training parameters
  • Pre-trained models for NLP tasks
  • Integration with popular NLP libraries

Project Samples

Pyreft Screenshot 1

Project Activity

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Categories

Natural Language Processing (NLP)

License

Apache License V2.0

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Pyreft Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2024-11-08
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