Update README.md

README.md

@@ -1,17 +1,16 @@
-#PrivBERT 
-
-PrivBERT is a privacy policy language model. We pre-trained PrivBERT on ~1 million privacy policies starting from the pretrained Roberta model. 
-
-##Usage
+# PrivBERT 
+PrivBERT is a privacy policy language model. We pre-trained PrivBERT on ~1 million privacy policies starting with the pretrained Roberta model. The data is available at [https://privaseer.ist.psu.edu/data](https://privaseer.ist.psu.edu/data)
 
+## Usage
+```
 from transformers import AutoTokenizer, AutoModel
 tokenizer = AutoTokenizer.from_pretrained("mukund/privbert")
-model = AutoModel.from_pretrained("model_name")
-
-##License 
+model = AutoModel.from_pretrained("mukund/privbert")
+```
 
+## License 
 If you use this dataset in research, you must cite the below paper.
-
-'Mukund Srinath, Shomir Wilson and C. Lee Giles. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. In Proc. ACL 2021.'
-
+```
+Mukund Srinath, Shomir Wilson and C. Lee Giles. Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies. In Proc. ACL 2021.
+```
 For research, teaching, and scholarship purposes, the model is available under a CC BY-NC-SA license. Please contact us for any requests regarding commercial use.