Update README.md

README.md

@@ -17,7 +17,7 @@ This is a NER model for Portuguese which uses the standard 'enamex' classes: LOC
 
 The model is based on [BERTimbau Large](https://huggingface.co/neuralmind/bert-large-portuguese-cased), which has been fine-tuned using a combination of available corpus (see [1] for details).
 
-There is an alternative model trained using (BERTimbau Base)[https://huggingface.co/neuralmind/bert-base-portuguese-cased]: (bert-base-pt-ner-enamex)[https://huggingface.co/marcosgg/bert-base-pt-ner-enamex].
+There is an alternative model trained using [BERTimbau Base](https://huggingface.co/neuralmind/bert-base-portuguese-cased): [bert-base-pt-ner-enamex](https://huggingface.co/marcosgg/bert-base-pt-ner-enamex).
 
 It was trained with a batch size of 32 and a learning rate of 3e-5 during 3 epochs. It achieved the following results on the test set (Precision/Recall/F1): 0.919/0.925/0.922.