Side-by-side comparison

Parameter-efficient fine-tuning methods such as LoRA and QLoRA for adapting large models cheaply.

Hugging Face's reference library for defining, loading and fine-tuning pretrained text, vision and audio models.

The main registry for open models, datasets and Spaces, plus the Python client for uploading and downloading.

Load, stream and process large ML datasets from the Hub with Apache Arrow-backed memory mapping.