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pytorch - Training T5 model using AllenNLP dataset loader

I was wondering If I can use Allennlp to load a very big dataset and train T5 model on the data that I will get from the dataset. About building the data set I have read the documentation and the idea is clear but I did not find information related to indexers and Is there any thing on documentation can help be start working on that? but I need more idea about tokenization. 2) Can I use T5tokenizer from transformers instead? I just can not get the hook to how think about it yet. 3) In the past there was example on using BERT I could not find it now also seems there are some new improvements.


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