example-projects/reference/huggingface

Hugging Face — reference material

Placeholder. This folder will cover Hugging Face: the de facto hub for open-weight AI models, datasets, and demos.

Planned topics:

• What Hugging Face is and why it matters (the "GitHub of AI models")
• Browsing the model hub: filtering by task, size, license
• Reading a model card: what to look for before you commit to a model
• Downloading and running a model with transformers
• The pipeline() shortcut for common tasks (text generation, transcription, classification, etc.)
• sentence-transformers for embeddings
• Where the weights actually live on your disk, and how to clean them up
• Datasets and Spaces (brief tour)
• Authentication and the few model families that need it (e.g. Llama)

When to dip in

When your project needs a model — for transcription, summarization, image generation, embeddings, classification — and you'd rather run something locally than pay for an API.

Prerequisites

Some ../python/, and ideally ../pytorch/ if you want to peek under the hood.