simpletransformers

Why we included this project

Simple Transformers wraps Hugging Face's Transformers so you can initialize, train, and evaluate a model in three lines of code. Rather than hand-writing training loops, you pick a task-specific class for text classification, named-entity recognition, extractive question answering, or dense retrieval, and the library handles the boilerplate. The same API extends to language generation, seq2seq, T5, multi-modal, and conversational models, which makes it a practical base for a small team juggling several kinds of Transformer work. Since it sits on top of Transformers instead of replacing it, you keep access to pretrained checkpoints and the wider Hugging Face ecosystem while getting a shorter path from idea to trained model.