💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
Reformer.ipynb - Colaboratory
Illustrating the Reformer. ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
ICLR 2020: Efficient NLP - Transformers | ntentional
performer-pytorch - Python Package Health Analysis | Snyk
Applying and Adapting the Reformer as a Computationally Efficient Approach to the SQuAD 2.0 Question-Answering Task
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
Reformer-pytorch: Reformer, the efficient Transformer, in Pytorch
Don't understand how REFORMER tokenizes words · Issue #33 · lucidrains/ reformer-pytorch · GitHub
The Reformer - Pushing the limits of language modeling
Reformer: The Efficient Transformer | Papers With Code
mwesner/reformer-clm · Hugging Face
Augmenting Self-attention with Persistent Memory | Papers With Code
Reformer for Translation task. Assertion Error: Sequence length needs to be divisible by bucket size*2 · Issue #72 · lucidrains/reformer-pytorch · GitHub
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
Runtime error when attempting to use data distributed parallel · Issue #19 · lucidrains/reformer-pytorch · GitHub
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
GitHub - napoler/reformer-chinese-pytorch: reformer-pytorch 中文版本，简单高效的生成模型。类似GPT2的效果
Reformer explained (Paper + 🤗Hugging Face code) - YouTube
💡Illustrating the Reformer. 🚊 ️ The efficient Transformer | by Alireza Dirafzoon | Towards Data Science
DrCoding: Using Transformers to Predict ICD-9 Codes from Discharge Summaries
Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
xFormers: Building Blocks for Efficient Transformers at PyTorch Conference 2022 - YouTube
