Update README.md

README.md

@@ -6,6 +6,44 @@ language:
 
 # model-card-testing
 
+<details>
+  <summary>Expand policymaker version</summary>
+  
+  *Pretend we decide upon set of info from the full model card that we think is relevant to policymakers, for example...* 
+  
+  ## [MODEL NAME] Model Card for Policymakers
+  
+  ### Model Details
+  
+  This model was developed by XYZ and can be used for XYZ. It was introduced in this paper and the code is available here.
+  
+  ### Uses 
+  
+  This model should be used for XYZ tasks and should not be used for XYZ tasks. 
+  
+  ### Risks, Limitations and Bias
+  
+  Some of the risks associated with using this model include XYZ.
+  
+</details>
+
+<details>
+  <summary>Expand researcher version</summary>
+  
+  *Pretend we decide upon set of info from the full model card that we think is relevant to researchers and put that here...* 
+  
+</details>
+
+<details>
+  <summary>Expand developer version</summary>
+  
+   *Pretend we decide upon set of info from the full model card that we think is relevant to developers and put that here...* 
+    
+</details>
+
+<details>
+  <summary>Expand full version</summary>
+
 ## Table of Contents
 1. [Model Details](#model-details)
 2. [How To Get Started With the Model](#how-to-get-started-with-the-model)
@@ -42,8 +80,6 @@ Since the generation relies on some randomness, we set a seed for reproducibilit
 ```
 
 
-
-
 Here is how to use this model to get the features of a given text in Pytorch: 
 
 NOTE: This will need customization/fixing.
@@ -161,4 +197,6 @@ You can estimate carbon emissions using the [Machine Learning Impact calculator]
 @inproceedings{...,
   year={2020}
 }
-```
+```
+
+</details>