Logo

Switch Transformers

The bare SWITCH_TRANSFORMERS Model transformer outputting encoder's raw hidden-states without any specific head on top.

Visit Website
Screenshot of Switch Transformers

About Switch Transformers

The SWITCH_TRANSFORMERS model is a transformer model that outputs the raw hidden-states of the encoder without any specific head on top. It was proposed in the paper 'Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity' by William Fedus, Barret Zoph, and Noam Shazeer. This model is an encoder-decoder T5-like model that can be used for various natural language processing tasks. It supports efficient sparsity and can scale up to trillion-parameter models, o...

Key Features

4 features
  • Supports efficient sparsity.
  • Can scale up to trillion-parameter models.
  • Encoder-decoder T5-like model.
  • Adaptable for various NLP tasks.

Use Cases

4 use cases
  • Natural language understanding.
  • Machine translation.
  • Text summarization.
  • Question answering.
Added April 22, 2024
Loading reviews...

Browse All Tools in These Categories