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Paraphrase Any Question with T5 (Text-To-Text Transformer)
Given a question, generate paraphrased versions of the question with T5 transformer. Pretrained model and training script provided.
t5 transformers huggingface pytorch
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
Transformers - Hugging Face
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
transformers huggingface attention bert
Questgen- An NLP library for state-of-the-art Question Generation
Questgen AI is an opensource, easy to use NLP library for Question generation. It can generate MCQs, Boolean (Yes/No), FAQs and also paraphrase any ...
question-generation question-answering t5 huggingface
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX.
onnx pytorch transformers t5
Simple Transformers
Transformers for Classification, NER, QA, Language Modeling, Language Generation, T5, Multi-Modal, and Conversational AI.
transformers named-entity-recognition question-answering language-modeling
Transfer Learning with T5: the Text-To-Text Transfer Transformer
In the paper, we demonstrate how to achieve state-of-the-art results on multiple NLP tasks using a text-to-text transformer pre-trained on a large text ...
transformers t5 question-answering reading-comprehension
Paraphrase Generation Using T5 model
Simple application using T5 base model fine tuned in Quora Question Pairs to generate paraphrased questions.
t5 transformers question-generation paraphrase-generation
A Text to Text Approach for COVID-19 Event Extraction
Help answer covid-related questions that people are likely to post on social media via fine-tuning sequence-to-sequence transformers.
text-classification-as-question-answering covid-on-social-media t5 arxiv:2009.10047
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