Turkish - GPT2 - Large open - source model: Free deployment to achieve high

Turkish Gpt2 Large

Developed by ytu-ce-cosmos

This is a Turkish GPT2 large model specifically designed for text generation tasks, capable of continuing given text fragments in a coherent and contextually appropriate manner.

Large Language Model

Transformers

OtherOpen Source License:MIT #Turkish text generation #Multi-turn dialogue #Long-text coherence

Downloads 4,642

Release Time : 2/13/2024

Model Overview

This model is based on the GPT2 architecture and optimized for Turkish language, enabling the generation of coherent Turkish text. Due to diverse training data sources, the model may exhibit certain biases, which users should be aware of and use responsibly.

Model Features

Turkish language optimization

Specifically trained and optimized for Turkish language, capable of generating high-quality Turkish text.

Coherent text generation

Able to generate coherent and contextually appropriate follow-up content based on given text fragments.

Large model scale

Utilizes the large-scale GPT2 architecture with enhanced text comprehension and generation capabilities.

Model Capabilities

Turkish text generation

Contextual coherence maintenance

Long-text continuation

Use Cases

Content creation

Article continuation

Automatically generates subsequent content of an article based on the given opening paragraph.

Generates coherent and topic-appropriate text content

Social media content generation

Automatically generates social media posts or comment content.

Generates natural and fluent Turkish social content

Education

Language learning assistance

Provides text generation examples for Turkish language learners.

Generates Turkish sentences that comply with grammatical norms

🚀 Turkish GPT-2

This is a large Turkish GPT-2 model. GPT-2 is crafted for text generation tasks, enabling it to coherently and contextually continue a given text snippet. However, due to the diverse training data from websites, books, and other text sources, this model may exhibit biases. Users should be aware of these biases and use the model responsibly.

🚀 Quick Start

This Turkish GPT-2 large model is designed for text generation tasks. It can continue a given text snippet in a coherent and contextually relevant manner.

✨ Features

Text Generation: Capable of generating coherent text based on the input.
Diverse Training Data: Trained on a wide range of text sources, including websites and books.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

from transformers import AutoTokenizer, GPT2LMHeadModel
from transformers import pipeline

model = GPT2LMHeadModel.from_pretrained("ytu-ce-cosmos/turkish-gpt2-large")
tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/turkish-gpt2-large")

text_generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
r = text_generator("Teknolojinin gelişimi hayatımızı önemli ölçüde etkiledi. ", max_length=100)
[{'generated_text': 'Teknolojinin gelişimi hayatımızı önemli ölçüde etkiledi. "Sosyal ağ" adını verdiğimiz yeni bir iletişim çağımız oluştu. '}]

📚 Documentation

Relevant information can be found in the paper.

🔧 Technical Details

No detailed technical implementation details are provided in the original document.

📄 License

This project is licensed under the MIT license.

📜 Acknowledgments

Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). Thanks for providing access to the TFRC ❤️
Thanks to the generous support from the Hugging Face team, it is possible to download models from their S3 storage 🤗

📖 Citation

@article{kesgin2024introducing,
  title={Introducing cosmosGPT: Monolingual Training for Turkish Language Models},
  author={Kesgin, H Toprak and Yuce, M Kaan and Dogan, Eren and Uzun, M Egemen and Uz, Atahan and Seyrek, H Emre and Zeer, Ahmed and Amasyali, M Fatih},
  journal={arXiv preprint arXiv:2404.17336},
  year={2024}
}

📞 Contact

COSMOS AI Research Group, Yildiz Technical University Computer Engineering Department
https://cosmos.yildiz.edu.tr/
cosmos@yildiz.edu.tr

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