Update README.md

README.md

@@ -9,17 +9,13 @@ base_model:
 <ins>Model Details 
 
 This model is designed to output a binary classification – 1 for yes and 0 for no – for the non-therapeutic use of a drug term. The drug for evaluation must be substituted with the term “DRUGTERM” before evaluation. It is fine-tuned for this use case from the model bert-based-cased (https://huggingface.co/google-bert/bert-base-cased). As such, it is case-sensitive; when used, do not convert the original text to all lowercase. 
-<ul>
-<li>Author: Nikki Adams ([email protected]) 
-
-<li>Developed at: National Center for Health Statistics, Centers for Disease Control and Prevention
 
-<li>Model Type: Text Classification
+* Author: Nikki Adams ([email protected]) 
+* Developed at: [National Center for Health Statistics](https://www.cdc.gov/nchs/index.htm), Centers for Disease Control and Prevention
+* Model Type: Text Classification
+* Language(s): English
+* License: Apache-2.0
 
-<li>Language(s): English
-  
-<li>License: Apache-2.0
-</ul>
 
 <ins>Example Use 
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