Update README.md

README.md

@@ -8,13 +8,11 @@ tags:
 - MarIA
 ---
 # PlanTL-GOB-ES-roberta-base-bne
-https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne
-
-**Copy of** MarIA ( **PlanTL-GOB-ES/roberta-base-bne** ) since weight files for this model has been removed permanently because it has been deprecated.
-
 
 ©© **All rights reserved: https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne** ©©
 
+**Copy of** MarIA ( **PlanTL-GOB-ES/roberta-base-bne** ) since weight files for this model has been removed permanently because it has been deprecated.
+
 
 ## How to use
 Here is how to use this model:
@@ -51,7 +49,7 @@ Here is how to use this model to get the features of a given text in PyTorch:
 ```python
 >>> from transformers import RobertaTokenizer, RobertaModel
 >>> tokenizer = RobertaTokenizer.from_pretrained('PeterPanecillo/PlanTL-GOB-ES-roberta-base-bne-copy')
->>> model = RobertaModel.from_pretrained('PlanTL-GOB-ES/roberta-base-bne')
+>>> model = RobertaModel.from_pretrained('PeterPanecillo/PlanTL-GOB-ES-roberta-base-bne-copy')
 >>> text = "Gracias a los datos de la BNE se ha podido desarrollar este modelo del lenguaje."
 >>> encoded_input = tokenizer(text, return_tensors='pt')
 >>> output = model(**encoded_input)