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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, | |
| ) | |