Hugging Face

Hugging Face is the central platform and ecosystem for open-source machine learning, hosting models, datasets, Spaces, and foundational libraries like Transformers, Accelerate, and PEFT.

When to Use

• Pretrained Model Discovery & Inference: Utilizing thousands of open-source vision, NLP, and audio models via transformers.
• Parameter-Efficient Fine-Tuning (PEFT): Fine-tuning LLMs with LoRA / QLoRA using peft and bitsandbytes.
• Dataset Management & Streaming: Accessing multi-gigabyte datasets without memory exhaustion via datasets.
• Production Model Deployment: Deploying containerized endpoints with Hugging Face Text Generation Inference (TGI).

Quick Start

from transformers import pipeline

# One-line inference with modern pre-trained models
classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")