Update README.md

README.md

@@ -1,6 +1,20 @@
 ---
 library_name: transformers
 pipeline_tag: text-classification
+widget:
+- text: "Shop Popular Prescription Food & Treats from Trusted Brands at Chewy."
+  example_title: "Product Promotion Example"
+- text: "Protect your pet with wellness & insurance plans at Chewy. Rx coverage, no payout limits!"
+  example_title: "Service Promotion Example"
+- text: "Food your pet will love or we'll make it right with our 100% satisfaction guarantee Fast delivery of pet food so you can spend more time playing & less time shopping. Low Prices. Free 365-Day Returns. 24/7 Customer Service."
+  example_title: "Sales Promotion Example"
+- text: "Join Our Treats™ Rewards Program to Start Earning Points & Receive Exclusive Discounts. Autoship ..."
+  example_title: "Lead Generation Example"
+- text: "New Customers Are Welcome at PetSmart® for Exclusive Deals on the Most Trusted Brands. Get all Your Pet Essentials With Free Same-Day Delivery or Curbside Pickup at PetSmart! Weekend Adoption Events. Pet Training."
+  example_title: "Brand Awareness Example"
+- text: "New Customers Are Welcome at PetSmart® for Exclusive Deals on the Most Trusted Brands. Get all Your Pet Essentials With Free Same-Day Delivery or Curbside Pickup at PetSmart! Weekend Adoption Events. Pet Training."
+  example_title: "Variety Example"
+
 ---
 
 # Model Card for Model ID
@@ -18,17 +32,4 @@ You can use this classifier on Google Ads to determine which of the 5 types of A
 - LABEL_4: brand awareness
 
 ## Model Description
-This classifier is a trained checkpoint of Bert, specifically bert-base-uncased, trained on 10,000 Google Ad inputs. These ads were scraped, cleaned, and labeled using OpenAi 3.5 turbo.
-
----
-widget:
-- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy."
-  example_title: "Sentiment analysis"
-- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
-  example_title: "Coreference resolution"
-- text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ..."
-  example_title: "Logic puzzles"
-- text: "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ..."
-  example_title: "Reading comprehension"
-
----
+This classifier is a trained checkpoint of Bert, specifically bert-base-uncased, trained on 10,000 Google Ad inputs. These ads were scraped, cleaned, and labeled using OpenAi 3.5 turbo.