Update README.md

README.md

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 # Unam_tesis_beto_finnetuning: Unam's thesis classification with BETO 
 
 This model is created from the finetuning of the pre-model
-for Spanish [BETO] (https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased), using PyTorch framework, 
-and trained with a set of theses of the National Autonomous University of Mexico (UNAM) (https://tesiunam.dgb.unam.mx/F?func=find-b-0&local_base=TES01). 
+for Spanish [BETO](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased), using PyTorch framework, 
+and trained with a set of theses of the National Autonomous University of Mexico [(UNAM)](https://tesiunam.dgb.unam.mx/F?func=find-b-0&local_base=TES01). 
 The model classifies a text into for five (Psicología, Derecho, Química Farmacéutico Biológica, Actuaría, Economía) 
 possible careers at the UNAM.
 
@@ -42,7 +42,7 @@ For further details on how to use unam_tesis_BETO_finnetuning you can visit the
 
 ```python
 
- tokenizer = AutoTokenizer.from_pretrained('hackathon-pln-es/unam_tesis_BETO_finnetuning', use_fast=False)
+ tokenizer = AutoTokenizer.from_pretrained('hiiamsid/BETO_es_binary_classification', use_fast=False)
  model = AutoModelForSequenceClassification.from_pretrained(
                    'hackathon-pln-es/unam_tesis_BETO_finnetuning', num_labels=5, output_attentions=False,
                   output_hidden_states=False)