Hugging Face

Introduction to Hugging Face

Hugging Face is a platform and community for machine learning focused on open-source tools and resources for building applications with transformers.

• Pretrained transformers: Access a vast library of pretrained transformer models for various tasks, from natural language processing and computer vision to audio processing. Save time and resources by fine-tuning these models instead of training them from scratch.

• Open-source collaboration: All models and tools on Hugging Face are open-source, allowing developers to inspect, modify, and share their creations. This fosters collaboration and innovation within the AI community.

• Transformers library: The transformers library provides a unified API for accessing and fine-tuning models across different frameworks like PyTorch and TensorFlow. This simplifies development and makes working with transformers more efficient.

• Curated datasets: Find high-quality text and image datasets for AI model training. Additionally, prebuilt tokenizers for various languages and tasks facilitate data preprocessing.

Hugging Face offers a couple of options for deploying and hosting models:

1. Inference Endpoints: A production-grade solution to deploy models on dedicated infrastructure managed by Hugging Face.

2. Hosted Inference API: This is a cost-effective serverless offering for accessing models deployed to a serverless shared infrastructure. We will ...