Update README.md

README.md

@@ -19,19 +19,8 @@ This model has the potential to produce unusual or unexpected results, due to th
 
 
 **How to use:**
-You can use this model by providing a product or brand name as an input. For example,
+You can use this model by providing a product or brand name as an input. For example: *Nike Air Force Ones*
 
-```
-from transformers import GPT2LMHeadModel, GPT2Tokenizer
-
-tokenizer = GPT2Tokenizer.from_pretrained("PeterBrendan/AdsGPT2")
-model = GPT2LMHeadModel.from_pretrained("PeterBrendan/AdsGPT2")
-
-inputs = tokenizer("Nike Basketball", return_tensors="pt")
-outputs = model.generate(**inputs, max_length=100)
-
-print(tokenizer.decode(outputs[0]))
-```
 
 **Training data:**
 This model was trained on a dataset consisting of over 10,000 programmatic ad creatives, which included a variety of different product and brand advertisements. The data was collected from various ad platforms and represents a wide range of ad styles and formats.