Ki6an/fastT5
โก boost inference speed of T5 models by 5x & reduce the model size by 3x.
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
$ git clone https://github.com/milvus-io/bootcamp.gitโก boost inference speed of T5 models by 5x & reduce the model size by 3x.
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
Query language for blending SQL and local language models across structured + unstructured data, with type constraints.
Framework for enhancing LLMs for RAG tasks using fine-tuning.
๐ฅ Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation ๐ฅ. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.
Data from GitHub ยท snapshot Sep 24, 2026