This project demonstrates how to use a pretrained transformer model from Hugging Face's Transformers library to generate text based on a custom input paragraph. The example highlights the topic of artificial intelligence.
In this project, we leverage transformer models to generate coherent and contextually relevant text based on a user-provided input paragraph. This functionality can be utilized for various applications such as summarization, content creation, and enhancing writing. ✍️
- Generate text based on custom input. ✏️
- Utilize pretrained models for quick and effective results. ⚡
- Customize parameters like maximum output length and beam search for improved generation quality.📈