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README.md

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 # GPT2-Malayalam
 
 ## Model description
-GPT2-Malayalam is a GPT-2 transformers model fine Tuned on a  large corpus of Malayalam data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way with an automatic process to generate inputs and labels from those texts. More precisely, it was trained to guess the next word in sentences.
+GPT2-Malayalam is a GPT-2 transformer model fine Tuned on a  large corpus of Malayalam data in a self-supervised fashion. This means it was pretrained on the raw texts only, with no humans labelling them in any way with an automatic process to generate inputs and labels from those texts. More precisely, it was trained to guess the next word in sentences.
 
 More precisely, inputs are sequences of continuous text of a certain length and the targets are the same sequence, shifted one token (word or piece of word) to the right. The model uses internally a mask-mechanism to make sure the predictions for the token i only uses the inputs from 1 to i but not the future tokens.