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import requests | |
import streamlit as st | |
import time | |
from transformers import pipeline | |
import os | |
from .utils import query | |
def write(): | |
st.markdown( | |
""" | |
<h1 style="text-align:left;">TURNA</h1> | |
""", | |
unsafe_allow_html=True, | |
) | |
st.write("#") | |
col = st.columns(2) | |
col[0].image("images/turna-logo.png", width=100) | |
st.markdown( | |
""" | |
<h3 style="text-align:left;">a Turkish encoder-decoder language model</h3> | |
<p style="text-align:right;"><p> | |
""", unsafe_allow_html=True, | |
) | |
st.markdown( | |
""" | |
Welcome to our Huggingface space, where you can explore the capabilities of TURNA. | |
**Key Features of TURNA:** | |
- **Powerful Architecture:** TURNA contains 1.1B parameters, and was pre-trained with an encoder-decoder architecture following the UL2 framework on 43B tokens from various domains. | |
- **Diverse Training Data:** Our model is trained on a varied dataset of 43 billion tokens, covering a wide array of domains. | |
- **Broad Applications:** TURNA is fine-tuned for a variety of generation and understanding tasks, including: | |
- Summarization | |
- Paraphrasing | |
- News title generation | |
- Sentiment classification | |
- Text categorization | |
- Named entity recognition | |
- Part-of-speech tagging | |
- Semantic textual similarity | |
- Natural language inference | |
Explore various applications powered by **TURNA** using the **Navigation** bar. | |
Refer to our [paper](https://arxiv.org/abs/2401.14373) for more details. | |
### Citation | |
```bibtex | |
@misc{uludogan2024turna, | |
title={TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation}, | |
author={Gökçe Uludoğan and Zeynep Yirmibeşoğlu Balal and Furkan Akkurt and Melikşah Türker and Onur Güngör and Susan Üsküdarlı}, | |
year={2024}, | |
eprint={2401.14373}, | |
archivePrefix={arXiv}, | |
primaryClass={cs.CL} | |
} | |
``` | |
""") | |
st.markdown( | |
""" | |
<p style="text-align:right;"><em>TURNA can generate toxic content or provide erroneous information. Double-check before usage. </em><p> | |
""", | |
unsafe_allow_html=True, | |
) | |