Update README.md

README.md

@@ -8,6 +8,14 @@ model-index:
 datasets:
 - GIZ/sector_data
 co2_eq_emissions: 0.276132
+widget:
+- text: "Forestry, forestry and wildlife: Vulnerability will be globally high to very high in zones 4 and 5, high to medium in the rest of the country but with strong trends in woodlands (droughts, extreme events);. - Water, sanitation and health: Vulnerability will be globally strong to very strong in zones 4 and 5, strong to medium in the rest of the country but with strong trends in the forested massifs (drought, floods and ground movement)"
+  example_title: "Disaster Risk Management (DRM), Water, Environment"
+- text: "Change fiscal policies on fossil fuel by 2025 to enable the transition to 100% renewable energy generation in the transportation sector"
+  example_title: "Transport, Economy-wide"
+- text: "Implementation of the electro-optical channel regulations for the distributed electricians, technicians in other regions and cities. 2- An integrated nationalization that complements the use of smart meter technology inside buildings. 3- Integrated solar photovoltaic in buildings. 4- Support your company and use it from local women s clubs and local producers. Waste. 1- Setting up waste management laws, which encourages the transfer of waste into bottles and bottles, we will burn the waste streams and reduce waste. 1- We use the appropriate regulation in our time to remove electrical and electrical rations from waste. 2- An integrated application for waste management. 3- Investing fire methane on landfill sites. Farming. 1- Nannnai to protect and increase the natural gaunanat"
+  example_title: "Social Development, Waste, Urban, Buildings"
+  
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,7 +36,7 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is trained for performing **Multi Label Sector Classification**. 
 
 
 ### Training hyperparameters