Easy Custom NLP T5 Model Training Tutorial - Abstractive Summarization Demo with SimpleT5

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In this Applied NLP Tutorial, We'll learn about SimpleT5 a Python library built on top of Pytorch Lightning and Hugging Face Transformers to make it easier for custom Model training T5 Models. T5 models could solve NLP tasks like Summarization, Question and Answering, Text Generation, Translation and much more.

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Amazing Guide ❤️ but I thing bro please do perform a finetune with a simple dataset, so that anyone can use it for its own domain specific task.

dv
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Can this code can be used for fine tuning other models like T5, pegasus,BART.I have a special use case for summarisation of casestudies?Can you suggest any method for that?And what should i do to get the full summarisation, this model is not able to provide the complete summarisation?

Junaiskvpkd
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Since you load a pre-trained model, is it for fine tuning? This is easy and elegant, but I am looking for training from scratch. Please advise.

yuanjizhang
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How I can make tokenizer for other then English language to train t5, instead the use of mt5 which are given by the google

uzairnaroo
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Thank you for valuable content. Is this T5 model can we use for general text generation?

skekanayake
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how can i fine tune mt5 model for cross lingual summarize

JackSparrow-kl
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Thanks you for such a beautiful explanation. I was working on a task to translate english to sql query, initially i struggled to find any info for training on custom datasets, but with your guide, I was finally able to do it.

sanketgadge
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Is it possible to do this without GPU?
My tensorflow gpu gives me weird errors

snaidu
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I request you to make a video on estimating missing values using ML any good library which would be effective in dealing with? Thanks a lot...always look forward to your videos... May God bless you with all happiness and success..

gunngunn
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Thanks for the video. May I know how to download the model to local from the output folder?

chaitanyam
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Thanks you, the video was very helpful

xiskagaming
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can we use this for different languages
if we can what are all things we want to change??

aswinm