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Omar Faruk
Novice Profiteer
Novice Profiteer
Jun 25, 2022
In General Discussion
In the article on quality title and meta Real Estate Photo Editing description generation, I introduced you to Google's T5 (Text-to-Text Transfer Transformer). T5 is a natural language processing model that can perform any type of task, as long as it receives the input as text and the output as text, given the appropriate dataset. He also explained it when he said in a SEJ eSummit talk that the algorithm designer actually lost the trivia quiz. How to generate a quality FAQ matically FAQPage schema in Python Now we are trying to take advantage of the wonderful work of researcher Suraj Real Estate Photo Editing Patil. advertisement Continue reading below He has put together a high quality GitHub repository with a T5 tweaked to generate questions using the SQuAD dataset. The repository contains Real Estate Photo Editing instructions on how to train the model, but as he has already done, take advantage of the pre-trained model. This can save you a lot of time and money. Let's review the code and steps to set up the FAQ generative model. First, you need to download the T5 weights. !! pynloader punkt This will cause the Python library nltk to download some files. Downloading [nltk_dkage punkt todatnltk_data] Unzip tokenizers /pundquesthe problem has been resolved and skip it. Next, let's install the transformer library. !! pip Real Estate Photo Editing install transformers Import a module that mimics the Transformers pipeline to keep things very simple. Import pipeline from pipeline Now we've reached the exciting part with just two lines of code. nne Frequently Asked Questio(are the questions and answers generated for the articles we cut. How to generate a quality FAQFAQPage schema in Python Look at the incredible quality of the questions and answers. They are diverse and comprehensive. advertisement Real Estate Photo Editing Continue reading below And I didn't even have to read the article to do this! We were able to do this quickly by leveraging the freely available open source code. While these models are impressive, it is highly recommended to review and edit the generated content for quality and accuracy. You may need to remove the question / answer pair or modify it to maintain the facts. Let's use these generated questions to generate aema. FAQ page schema generation I borrow an idea from one of Real Estate Photo Editing my early articles to easily generate a JSON-LD schema. You can use the Jinja2 template to generate an XML sitemap and use the same trick to generate JSON-LD and HTML. First, you need to install jinja2 .
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Omar Faruk

Omar Faruk

Novice Profiteer
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