Hugging Face Transformers (2)

What Hugging Face Transformers (2) is

It provides a consistent interface across thousands of model architectures, along with tokenisers, datasets and training utilities.

How it works

A few lines load a model and tokeniser from the hub and run inference or fine-tuning; companion libraries add parameter-efficient tuning, alignment training and fast serving.

Why it matters

It is the default entry point for working with open-weight models, and the de facto distribution channel for the field.

Common uses

• →Loading open-weight models
• →Fine-tuning pipelines
• →Benchmarking and research