Releases
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:
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