Model: farelzii/NaraSpeak_GEC_V1
Author: farelzii
Library: transformers
Tags: transformers, safetensors, t5, text2text-generation, grammar, spelling, punctuation, error-correction, grammar synthesis, FLAN, C4, dataset:C4, license:cc-by-nc-sa-4.0, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us
Card metadata: languages: en
license: cc-by-nc-sa-4.0, apache-2.0
tags: grammar, spelling, punctuation, error-correction, grammar synthesis, FLAN, C4
datasets: C4
widget: text: Me go to the store yesterday and buy many thing. I saw a big dog but he no bark at me. Then I walk home and eat my lunch, it was delicious sandwich. After that, I watch TV and see a funny show about cat who can talk. I laugh so hard I cry. Then I go to bed but I no can sleep because I too excited about the cat show.
example_title: Long-Text, text: Me and my family go on a trip to the mountains last week. We drive for many hours and finally reach our cabin. The cabin was cozy and warm, with a fireplace and big windows. We spend our days hiking and exploring the forest. At night, we sit by the fire and tell story. It was a wonderful vacation.
example_title: Long-Text, 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, 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, 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
parameters: max_length: 128
min_length: 4
num_beams: 8
repetition_penalty: 1.21
length_penalty: 1
early_stopping: yes
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Created: 2024-06-20 18:18:01