Ru Lean A L B E R T

Introduction

RuLeanALBERT is a pretrained masked language model designed specifically for the Russian language. It utilizes a memory-efficient architecture to optimize performance.

Architecture

The model is based on the ALBERT architecture, which is known for its efficiency in terms of memory usage. ALBERT achieves this by sharing parameters across layers and employing factorized embedding parameterization.

Training

RuLeanALBERT is pretrained using a vast corpus of Russian text data. The model has been finetuned for various natural language processing tasks. Details about its pretraining and finetuning processes can be accessed in the GitHub repository.

Guide: Running Locally

1. Clone the Repository:
   Clone the RuLeanALBERT repository from GitHub:

   git clone https://github.com/yandex-research/RuLeanALBERT.git
   

2. Install Dependencies:
   Navigate to the project directory and install required packages:

   cd RuLeanALBERT
   pip install -r requirements.txt
   

3. Run the Model:
   Execute the provided scripts to run the model locally. Ensure that you have a compatible environment with Python and necessary libraries.

4. GPU Recommendation:
   For optimal performance, consider using cloud services offering GPU instances like AWS, Google Cloud, or Azure.

License

RuLeanALBERT is released under the Apache 2.0 License, which allows for free use, modification, and distribution of the software, provided that proper credit is given to the original authors.