Hugging Face Cuts RL Training Sync Overhead by 98% With Sparse Delta Weights
A new TRL protocol reduces per-step model synchronization from terabytes to tens of megabytes by shipping only changed parameters across distributed training pipelines.
A new TRL protocol reduces per-step model synchronization from terabytes to tens of megabytes by shipping only changed parameters across distributed training pipelines.
PaddleOCR 3.5 now supports Hugging Face Transformers as an inference runtime, letting developers run OCR and document parsing models directly within Transformers-centered stacks.