This repository was archived by the owner on Jun 3, 2025. It is now read-only.
SparseML v1.3.0
New Features:
- NLP multi-label training and eval support added.
- SQuAD v2.0 support provided.
- Recipe template APIs introduced, enabling easier creation of recipes for custom models with standard sparsification pathways.
- EfficientNetV2 model architectures implemented.
- Sample inputs and outputs exportable for YOLOv5, transformers, and image classification integrations.
Changes:
- PyTorch 1.12 and Python 3.10 now supported.
- YOLOv5 pipelines upgraded to the latest version from Ultralytics.
- Transformers pipelines upgraded to latest version from Hugging Face.
- PyTorch image classification pathway upgraded using torchvision standards.
- Recipe arguments now support list types.
Resolved Issues:
- Improper URLs fixed for ONNX export documentation to proper documentation links.
- Latest transformers version hosted by Neural Magic automatically installs; previously it would pin on older versions and not receive updates
Known Issues:
- None