Update README.md

README.md

@@ -12,7 +12,7 @@ datasets:
 - assin2
 ---
 
-# rufimelo/Legal-SBERTimbau-large
+# rufimelo/Legal-SBERTimbau-nli-large
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 Legal-SBERTimbau-large is based on Legal-BERTimbau-large whioch derives from [BERTimbau](https://huggingface.co/neuralmind/bert-base-portuguese-cased) Large.
@@ -32,7 +32,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["Isto é um exemplo", "Isto é um outro exemplo"]
 
-model = SentenceTransformer('rufimelo/Legal-SBERTimbau-large')
+model = SentenceTransformer('rufimelo/Legal-SBERTimbau-nli-large')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -58,8 +58,8 @@ def mean_pooling(model_output, attention_mask):
 sentences = ['This is an example sentence', 'Each sentence is converted']
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('rufimelo/Legal-SBERTimbau-large')
-model = AutoModel.from_pretrained('rufimelo/Legal-SBERTimbau-large}')
+tokenizer = AutoTokenizer.from_pretrained('rufimelo/Legal-SBERTimbau-nli-large')
+model = AutoModel.from_pretrained('rufimelo/Legal-SBERTimbau-nli-large}')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
@@ -106,4 +106,15 @@ SentenceTransformer(
 
 ## Citing & Authors
 
-<!--- Describe where people can find more information -->
+If you use this work, please cite BERTimbau's work:
+
+```bibtex
+@inproceedings{souza2020bertimbau,
+  author    = {F{\'a}bio Souza and
+               Rodrigo Nogueira and
+               Roberto Lotufo},
+  title     = {{BERT}imbau: pretrained {BERT} models for {B}razilian {P}ortuguese},
+  booktitle = {9th Brazilian Conference on Intelligent Systems, {BRACIS}, Rio Grande do Sul, Brazil, October 20-23 (to appear)},
+  year      = {2020}
+}
+```