First version of the model

README.md

@@ -35,7 +35,7 @@ tokenizer=AutoTokenizer.from_pretrained(pretrained_model_name_or_path = "SEBIS/l
     device=0
 )
 
-fr_text = "Subject: Comments by an EU official regarding the Greek Stability Programme
+fr_text = "Committee(s) asked for opinion(s) Date announced in plenary
 "
 
 pipeline([fr_text], max_length=512)
@@ -59,7 +59,7 @@ When the model is used for translation test dataset, achieves the following resu
 
 Test results :
 
-| Model | secondary structure (3-states) |
+| Model | BLEU score |
 |:-----:|:-----:|
 |   legal_t5_small_trans_fr_en | 51.44|