#63 · Primary category: NLP Tools & Text Processing
EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Project last updated:11/27/24
GitHub Stars
2.2K
Forks
258
Contributors
40
License
Apache-2.0
Why we included this project
Teams that build real text pipelines often get stuck on the gap between a pretrained checkpoint and a model that actually performs in production. EasyNLP closes much of that gap with a PyTorch framework that handles the whole job: loading Hugging Face and EasyTransfer models, finetuning them for classification or text generation, and exporting them for online serving. Its few-shot learning and knowledge distillation paths are especially useful for organizations that cannot afford large labeled datasets or heavyweight models in deployment. Beyond plain text, it ships CLIP-style and DALL-E-style models for text-image matching and image synthesis, so one toolkit covers both NLP and basic multimodal work. If you want concise commands instead of hand-rolled training loops, and you already run Alibaba Cloud's PAI stack, this is a practical option before assembling your own mix of libraries.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
compromise
modest natural-language processing
tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
CoreNLP
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量