File size: 2,127 Bytes
d2ec1e8 f3c76f3 d2ec1e8 f3c76f3 5bca4ac cf304ae f3c76f3 c4ddd0f f3c76f3 3a4270d c4ddd0f 24caf1c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
license: mit
datasets:
- uonlp/CulturaX
language:
- tr
pipeline_tag: text-generation
tags:
- Turkish
- turkish
- gpt2
---
<img src="./model_cover.png" width=400px/>
# turkish-gpt2
This is a Turkish GPT-2 large model. GPT-2 is designed for text generation tasks, providing the ability to continue a given text snippet in a coherent and contextually relevant manner.
Due to the diverse nature of the training data, which includes websites, books, and other text sources, this model can exhibit biases. Users should be aware of these biases and use the model responsibly.
## Example Usage
```python
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. '}]
```
Relevant information can be found in the [paper](https://arxiv.org/abs/2404.17336).
# Acknowledgments
- Research supported with Cloud TPUs from [Google's TensorFlow Research Cloud](https://sites.research.google/trc/about/) (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
```bibtex
@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 <br>
https://cosmos.yildiz.edu.tr/ <br>
[email protected] <br>
|