

Model usage:
```
tokenizer = MBart50Tokenizer.from_pretrained("IljaSamoilov/MBART-estonian-subtitles", src_lang="et_EE", tgt_lang="et_EE")
model = MBartForConditionalGeneration.from_pretrained("IljaSamoilov/MBART-estonian-subtitles")
```
{"language": ["et"], "widget": [{"text": "te olete ka noh, noh, p\u00e4ris korralikult ka Rahvusringh\u00e4\u00e4lingu teatud m\u00f5ttes sellisesse keerulisse olukorda pannud,"}, {"text": "Et, et, et miks mitte olla siis tasakaalus, ma noh, h\u00fcpoteetiliselt viskan selle palli \u00fcles,"}]}
transformers pytorch mbart text2text-generation et autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #et #autotrain_compatible #endpoints_compatible #has_space #region-us 



Model usage:

TAGS
#transformers #pytorch #mbart #text2text-generation #et #autotrain_compatible #endpoints_compatible #has_space #region-us 

passage: TAGS
#transformers #pytorch #mbart #text2text-generation #et #autotrain_compatible #endpoints_compatible #has_space #region-us 
