Improving Hugging Face Training Efficiency Through Packing with Flash Attention 2

Improving Parquet Dedupe on Hugging Face Hub

Hugging Face partners with Wiz Research to Improve AI Security

Efficient Table Pre-training without Real Data: An Introduction to TAPEX

Introducing Prodigy-HF: a direct integration with Hugging Face

Opinion Classification with Kili and HuggingFace AutoTrain

2-ASP(Q) programs with weak constraints: Complexity and efficient implementation

ASP(Q) extends Answer Set Programming (ASP) with Quantifiers over answer sets. In this paper we focus on the class of ASP(Q) programs with two quantifiers and weak constraints, denoted as 2-ASP(Q)^w. 2-ASP(Q)^w is a practically relevant fragment of ASP(Q) that is expressive enough to capture optimization problems up...