Model: pszemraj/grammar-synthesis-base
Author: pszemraj
Library: transformers
Tags: transformers, pytorch, safetensors, t5, text2text-generation, grammar, spelling, punctuation, error-correction, grammar synthesis, dataset:jfleg, arxiv:2107.06751, license:cc-by-nc-sa-4.0, text-generation-inference, endpoints_compatible, region:us
Card metadata: license: cc-by-nc-sa-4.0
tags: grammar, spelling, punctuation, error-correction, grammar synthesis
datasets: jfleg
widget: text: i can has cheezburger
example_title: cheezburger, text: There car broke down so their hitching a ride to they're class.
example_title: compound-1, text: so em if we have an now so with fito ringina know how to estimate the tren given the ereafte mylite trend we can also em an estimate is nod s i again tort watfettering an we have estimated the trend an called wot to be called sthat of exty right now we can and look at wy this should not hare a trend i becan we just remove the trend an and we can we now estimate tesees ona effect of them exty
example_title: Transcribed Audio Example 2, text: My coworker said he used a financial planner to help choose his stocks so he wouldn't loose money.
example_title: incorrect word choice (context), text: good so hve on an tadley i'm not able to make it to the exla session on monday this week e which is why i am e recording pre recording an this excelleision and so to day i want e to talk about two things and first of all em i wont em wene give a summary er about ta ohow to remove trents in these nalitives from time series
example_title: lowercased audio transcription output, text: Semo eaxmeslp of bda gmaramr ttah occru deu to nounprnooun ageremten errrso inlceud Anan adn Pat aer mairred he has bnee togethre fro 20 yaesr Anna and Pta aer plraul wheil he is sniurgla Teh sentecne suhold rdea Aann adn Pat are mraried tyhe heav
example_title: descramble unintelligible text, text: Most of the course is about semantic or  content of language but there are also interesting topics to be learned from the servicefeatures except statistics in characters in documents. At this point, Elvthos introduces himself as his native English speaker and goes on to say that if you continue to work on social scnce,
example_title: social science ASR summary output
parameters: max_length: 128
min_length: 2
num_beams: 8
repetition_penalty: 1.5
length_penalty: 0.95
early_stopping: yes
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Created: 2022-07-17 19:32:21