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  **Model:** GPT-2
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- **Model name:** AdsGPT
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  **Model description:**
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  This is a fine-tuned version of the GPT-2 model trained on a dataset of 10,000+ programmatic ad creatives. This model is designed to generate ad content given a product or a brand. For instance, when given the input "Nike Basketball", it will generate a sample ad and also suggest an ad size. The model's main purpose is to inspire ad creatives and provide a starting point for creating effective marketing content.
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  ```
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  from transformers import GPT2LMHeadModel, GPT2Tokenizer
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- tokenizer = GPT2Tokenizer.from_pretrained("PeterBrendan/AdsGPT")
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- model = GPT2LMHeadModel.from_pretrained("PeterBrendan/AdsGPT")
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  inputs = tokenizer("Nike Basketball", return_tensors="pt")
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  outputs = model.generate(**inputs, max_length=100)
 
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  **Model:** GPT-2
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+ **Model name:** AdsGPT2
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  **Model description:**
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  This is a fine-tuned version of the GPT-2 model trained on a dataset of 10,000+ programmatic ad creatives. This model is designed to generate ad content given a product or a brand. For instance, when given the input "Nike Basketball", it will generate a sample ad and also suggest an ad size. The model's main purpose is to inspire ad creatives and provide a starting point for creating effective marketing content.
 
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  ```
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  from transformers import GPT2LMHeadModel, GPT2Tokenizer
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+ tokenizer = GPT2Tokenizer.from_pretrained("PeterBrendan/AdsGPT2")
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+ model = GPT2LMHeadModel.from_pretrained("PeterBrendan/AdsGPT2")
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  inputs = tokenizer("Nike Basketball", return_tensors="pt")
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  outputs = model.generate(**inputs, max_length=100)