From b161f1ae54a810d262c093ba717493814c11e8eb Mon Sep 17 00:00:00 2001
From: moniquebm <60358442+moniquebm@users.noreply.github.com>
Date: Fri, 11 Dec 2020 11:24:21 -0300
Subject: [PATCH] Update README.md (#8820)

---
 model_cards/monilouise/ner_pt_br/README.md | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/model_cards/monilouise/ner_pt_br/README.md b/model_cards/monilouise/ner_pt_br/README.md
index d875ab3de9..7041b3991f 100644
--- a/model_cards/monilouise/ner_pt_br/README.md
+++ b/model_cards/monilouise/ner_pt_br/README.md
@@ -22,6 +22,17 @@ For more details, please see, (https://github.com/SecexSaudeTCU/noticias_ner).
 
 #### How to use
 
+```python
+from transformers import BertForTokenClassification, DistilBertTokenizerFast, pipeline
+model = BertForTokenClassification.from_pretrained('monilouise/ner_pt_br')
+tokenizer = DistilBertTokenizerFast.from_pretrained('neuralmind/bert-base-portuguese-cased'
+                                                    , model_max_length=512
+                                                    , do_lower_case=False
+                                                    )
+nlp = pipeline('ner', model=model, tokenizer=tokenizer, grouped_entities=True)
+result = nlp("O Tribunal de Contas da União é localizado em Brasília e foi fundado por Rui Barbosa.")
+```
+
 #### Limitations and bias
 
 - The finetunned model was trained on a corpus with around 180 news articles crawled from Google News.  The original project's purpose was to recognize named entities in news