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Improving the Performance of Compressed Transformers with Post-Hoc Embedding Alignment
Model compression is necessary for deployment of transformer models in resource-constrained environments. However, compression reduces the performance of transformer models on downstream tasks. Existing solutions such as Knowledge Distillation (KD) and Parameter Efficient Fine-Tuning (PEFT) have the
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