sarcastic model

Introduction
The Sarcastic Model is a fine-tuned version of Microsoft's DialoGPT-medium, specifically designed to generate sarcastic responses. It has been trained using the "Sarcasm on Reddit" dataset, which is available on Kaggle.

Architecture
The model is based on the DialoGPT-medium architecture, which is a transformer-based model tailored for conversational tasks. This architecture allows the model to excel in generating coherent and contextually appropriate sarcastic responses.

Training
The model underwent fine-tuning using the "Sarcasm on Reddit" dataset. This dataset comprises various sarcastic remarks extracted from Reddit, providing a rich source of conversational sarcasm for training purposes.

Guide: Running Locally

1. Clone the Repository: Obtain the model files from the Hugging Face repository.
2. Install Dependencies: Ensure you have Python and the Hugging Face Transformers library installed.
3. Load the Model: Use the Transformers library to load the model.
4. Run Inference: Input text to generate sarcastic responses.

For enhanced performance, especially during training or large-scale inference, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure.

License
The licensing details have not been specified in the provided content. Please refer to the repository or contact the author for more information.