Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP
-
Updated
Jul 28, 2022 - Python
#
text-to-text-transfer-transformer
Here are 11 public repositories matching this topic...
Demo of the T5 model for various pre-trained task.
translation deep-learning pytorch transformer summarization transfer-learning t5 text-to-text-transfer-transformer
-
Updated
Apr 24, 2020 - Jupyter Notebook
Comparing state of the art models for text summary generation
python natural-language-processing transformers bart summarization language-model bert natural-language-understanding huggingface t5 xlnet text-to-text-transfer-transformer huggingface-transformers
-
Updated
Jun 6, 2023 - Jupyter Notebook
Implementing 5 Different Approaches To Augmenting Data For Natural Language Processing Tasks.
natural-language-processing word-embeddings ensemble bert data-augmentation back-translation text-to-text-transfer-transformer t5-model
-
Updated
Oct 25, 2022 - Jupyter Notebook
End-to-End Conditional Poetry Generation
nlp natural-language-processing poetry transformers pytorch transformer transfer-learning nlg vader-sentiment-analysis pos-tagging poetry-generator self-supervised-learning t5 text-to-text-transfer-transformer t5-model topical-poetry topic-to-poem topic2poem
-
Updated
May 14, 2021 - Jupyter Notebook
T5-based systems developed for the Social Media Mining for Health (SMM4H) 2022 Shared Task.
-
Updated
Oct 19, 2022 - Jupyter Notebook
perfroming abstractive text summariztion task using T5, and serving it via REST API
flask natural-language-processing deep-learning rest-api transformers python3 pytorch text-summarization transfer-learning attention-model abstractive-text-summarization fine-tuning text-to-text-transfer-transformer t5-model
-
Updated
Jan 7, 2022 - Python
Large Multi-Language Models for News Translation
-
Updated
Dec 19, 2023 - Jupyter Notebook
About Successfully developed an encoder-decoder t5 model which can summarize the entire text of an Editorials summary into a short paragraph with limited number of words.
-
Updated
Jun 30, 2025 - Jupyter Notebook
This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.
deep-neural-networks ai deep-learning text-generation artificial-intelligence neural-networks artificial-neural-networks t5 text-to-text-transfer-transformer t5-model tranformers text-to-text-transformer text-to-text text-to-text-generation text-generation-using-t5
-
Updated
Jan 26, 2025 - Jupyter Notebook
CycleABSA: Cyclic Training for Aspect-Based Sentiment Analysis with Limited Supervision
natural-language-processing deep-learning transformer aspect-based-sentiment-analysis text-to-text-transfer-transformer cycle-training
-
Updated
Feb 11, 2025 - Python
Improve this page
Add a description, image, and links to the text-to-text-transfer-transformer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the text-to-text-transfer-transformer topic, visit your repo's landing page and select "manage topics."