fastNLP

Why we included this project

fastNLP is a Python toolkit that takes over the plumbing that normally eats up time when you build NLP models: data processing loops, training loops, and multi-GPU runs come as reusable pieces instead of code you rewrite for each experiment. You can switch to fp16 or ZeRO optimization without touching your model code. It suits researchers and engineers who train text classification, sequence labeling, and similar models directly rather than just calling pretrained APIs, and it is a practical choice for Chinese-language work since it ships loaders and tokenizer helpers for Chinese datasets. The 1.0 redesign made the framework backend-agnostic, so the same code can target different deep learning engines if you may need to move between them. If you train custom models and want less setup noise, fastNLP shortens that loop noticeably.