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<a href="https://pypi.org/project/torchscale"><img alt="MIT License" src="https://badge.fury.io/py/torchscale.svg" /></a>
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TorchScale is a PyTorch library that allows researchers and developeres to scale up Transformers efficiently and effectively.
It has the implemetention of fundamental research to improve modeling generality and capability, as well as training stability and efficiency of scaling Transformers.
TorchScale is a PyTorch library that allows researchers and developers to scale up Transformers efficiently and effectively.
It has the implementation of fundamental research to improve modeling generality and capability, as well as training stability and efficiency of scaling Transformers.
- Stability - [**DeepNet**](https://arxiv.org/abs/2203.00555): scaling Transformers to 1,000 Layers and beyond
- Generality - [**Foundation Transformers (Magneto)**](https://arxiv.org/abs/2210.06423)