Based on Finnish pretrained T5 model version small-nl24

Train data:
Around 300k samples from from following datasets 
- [wikipedia](https://huggingface.co/datasets/wikipedia) 
- [Yle Finnish News Archive 2011-2018](http://urn.fi/urn:nbn:fi:lb-2017070501) 
- [Yle Finnish News Archive 2019-2020](http://urn.fi/urn:nbn:fi:lb-2021050401) 
- [Finnish News Agency Archive (STT)](http://urn.fi/urn:nbn:fi:lb-2018121001) 
- [The Suomi24 Sentences Corpus](http://urn.fi/urn:nbn:fi:lb-2020021803)

Tested with 1000 samples from the previous datasets Median CER 1.1% MEAN CER 4.2%
More detailed info coming later...

{}
transformers pytorch t5 text2text-generation autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

Based on Finnish pretrained T5 model version small-nl24

Train data:
Around 300k samples from from following datasets 
- wikipedia 
- Yle Finnish News Archive 2011-2018 
- Yle Finnish News Archive 2019-2020 
- Finnish News Agency Archive (STT) 
- The Suomi24 Sentences Corpus

Tested with 1000 samples from the previous datasets Median CER 1.1% MEAN CER 4.2%
More detailed info coming later...

TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

passage: TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
