researchJul 3
The Reformer - Pushing the limits of language modeling
The Reformer model was introduced as a new approach to language modeling that scales efficiently to long sequences. It uses a combination of reversible attention and chunking to reduce memory requirements. This allows for training on longer sequences than previously possible. You can explore the Reformer model on the Hugging Face platform.
Key takeaways
- Reformer model scales efficiently to long sequences.
- Uses reversible attention and chunking to reduce memory requirements.
- Enables training on longer sequences than previously possible.