Fine-Tuning and Deploying GPT Models Using Hugging Face Transformers | The PyCharm Blog

"Hugging Face is currently a household name for machine learning researchers and enthusiasts. One of their biggest successes is Transformers, a model-definition framework for machine learning models in text, computer vision, audio, and video. Because of the vast repository of state-of-the-art machine learning models available on the Hugging Face Hub and the compatibility of Transformers with the majority of training frameworks, it is widely used for inference and model training."

"Fine-tuning AI models is crucial for tailoring their performance to specific tasks and datasets, enabling them to achieve higher accuracy and efficiency compared to using a general-purpose model. By adapting a pre-trained model, fine-tuning reduces the need for training from scratch, saving time and resources. It also allows for better handling of specific formats, nuances, and edge cases within a particular domain, leading to more reliable and tailored outputs."

"When using PyCharm, we can easily browse and add any models from Hugging Face. In a new Python file, from the Code menu at the top, select Insert HF Model. In the menu that opens, you can browse models by category or start typing in the search bar at the top. When you select a model, you can see its description on the right. When you click Use Model, you will see a code snippet added to your file. And that's it - You're ready to start using your Hugging Face model."

Hugging Face supplies a vast repository of state-of-the-art models and the Transformers framework for defining models across text, computer vision, audio, and video. Transformers are compatible with most training frameworks and are widely used for both inference and model training. Fine-tuning adapts pre-trained models to specific tasks and datasets, improving accuracy and efficiency while avoiding training from scratch. Fine-tuning also enables better handling of domain-specific formats, nuances, and edge cases. PyCharm integration allows browsing and inserting Hugging Face models directly into a Python file, including code snippets to begin using selected models.

Read at The JetBrains Blog