SparseZoo v1.4.0

New Features:

• More performant YOLOv5s and YOLOv5l sparse quantize models
• YOLOv5 sparse quantized models for m, l, x versions
• YOLOv5p6 sparse quantized models for n, s, m, l, x versions
• NLP multi-label use case models for BERT-base, DistilBERT, and BERT-Large on the GoEmotions dataset
• Initial oBERTa models (RoBERTa style models) for SQuAD and GLUE tasks

Changes:

• None

Resolved Issues:

• Due to a breaking change in NumPy, its version was pinned to <=1.21.6 to prevent crashes from happening across SparseZoo, SparseML, and DeepSparse.

Known Issues:

• None