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.
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