GPTuz
| Property | Value |
|---|---|
| Authors | Adilova Fatima, Rifkat Davronov, Samariddin Kushmuratov, Ruzmat Safarov |
| Training Data | 0.53 GB from Kun.uz |
| Base Architecture | GPT-2 |
| Model URL | https://huggingface.co/rifkat/GPTuz |
| Year | 2022 |
What is GPTuz?
GPTuz is a groundbreaking language model specifically designed for the Uzbek language, built upon the GPT-2 architecture. This state-of-the-art model represents a significant advancement in Uzbek natural language processing, trained using Transfer Learning and Fine-tuning techniques on a NVIDIA V100 32GB GPU.
Implementation Details
The model was trained for over 24 hours using sophisticated transfer learning techniques on high-performance hardware. It supports a maximum sequence length of 1024 tokens and can be easily integrated using the Hugging Face Transformers library.
- Built on GPT-2 architecture with Uzbek language specialization
- Trained on 0.53GB of carefully curated Kun.uz data
- Utilizes advanced transfer learning and fine-tuning methods
- Supports both single-word and sequence generation
Core Capabilities
- Text generation in Uzbek language
- Single word prediction
- Full sequence generation with customizable parameters
- Support for both Latin and Cyrillic Uzbek scripts
Frequently Asked Questions
Q: What makes this model unique?
GPTuz is the first state-of-the-art language model specifically designed for the Uzbek language, combining the power of GPT-2 architecture with specialized training on Uzbek text data.
Q: What are the recommended use cases?
The model is ideal for Uzbek text generation tasks, including content creation, text completion, and language understanding applications. It can be used for both academic research and practical applications in Uzbek language processing.
