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This is a Pytorch implementation of Reformer. It includes LSH attention, reversible network, and chunking. It has been validated with an auto-regressive task (enwik8).
Features
- Positional Embeddings
- Masking
- Documentation available
- Examples available
- Reformer Encoder Decoder Architecture
- Product Key Memory
- Customize Feedforward
- Helpers for training auto-regressive models
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow Reformer PyTorch
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