Update README.md

README.md

@@ -11,17 +11,12 @@ tags:
 - nontoxicbert
 ---
 
-Bert-Based-Uncased finetuned with the non-toxic only from the Jigsaw-unintended-bias dataset, to make the BERT 
-prediction less toxic.
+# Description
 
-I am still working to make this model even less toxic.
+CivilBert is a further finetuned model of bert-based-uncased using only the non-toxic data of the Jigsaw-unintended-bias dataset to make the predicted tokens less toxic. 
+We are working further to make this model better and less toxic. 
 
-
-
-You can use it directly using the transformers:
-
-from transformers import AutoTokenizer, AutoModelForMaskedLM
-
-tokenizer = AutoTokenizer.from_pretrained("Ashokajou51/NonToxicCivilBert")
-
-model = AutoModelForMaskedLM.from_pretrained("Ashokajou51/NonToxicCivilBert")
+# You can use it directly using the transformers:
+* from transformers import AutoTokenizer, AutoModelForMaskedLM
+* tokenizer = AutoTokenizer.from_pretrained("Ashokajou51/NonToxicCivilBert")
+* model = AutoModelForMaskedLM.from_pretrained("Ashokajou51/NonToxicCivilBert")