Pretrained model pruned to 70% sparsity.
The model is a pruned version of the
BERT base model.
The model can be used for fine-tuning to downstream tasks with sparsity already embeded to the model.
To keep the sparsity a mask should be added to each sparse weight blocking the optimizer from updating the zeros.