First version of the model

README.md

@@ -9,7 +9,7 @@ datasets:
 
 # legal_t5_small_trans_fr_en model
 
-Pretrained model on protein sequences using a masked language modeling (MLM) objective. It was first released in
+Model on translating legal text from French to English. It was first released in
 [this repository](https://github.com/agemagician/LegalTrans). This model is trained on three parallel corpus from jrc-acquis, europarl and dcep.
 
 
@@ -35,7 +35,7 @@ tokenizer=AutoTokenizer.from_pretrained(pretrained_model_name_or_path = "SEBIS/l
     device=0
 )
 
-fr_text = "(8) System vendors should ensure that CRS marketing data is available to all participating carriers without discrimination, and transport providers should not be able to use such data in order to unduly influence the choice of the travel agent nor the choice of the consumer .
+fr_text = "Subject: Comments by an EU official regarding the Greek Stability Programme
 "
 
 pipeline([fr_text], max_length=512)