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OpenNLPLab
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HGRN-1B

Text Generation
Transformers
PyTorch
English
hgrn
HGRN
Recurrent Neural Network
custom_code
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  - Recurrent Neural Network
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  ---
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- - [HGRN](#hgrn)
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- - [Overall Architecture](#overall-architecture)
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- - [Experiments](#experiments)
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- - [Environment Preparation](#environment-preparation)
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- - [Env1](#env1)
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- - [Env2](#env2)
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- - [Autoregressive language model](#autoregressive-language-model)
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- - [1) Preprocess the data](#1-preprocess-the-data)
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- - [2) Train the autoregressive language model](#2-train-the-autoregressive-language-model)
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- - [Image modeling](#image-modeling)
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- - [LRA](#lra)
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- - [1) Preparation](#1-preparation)
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- - [2) Training](#2-training)
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- - [Standalone code](#standalone-code)
 
 
 
 
 
 
 
 
 
 
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  ## Overall Architecture
 
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  - Recurrent Neural Network
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  ---
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+ <div align="center">
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+ <h1>
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+ HGRN - Hierarchically Gated Recurrent Neural Network for Sequence Modeling
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+ </h1>
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+ </div>
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+
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+ <p align="center">
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+ 💻 <a href="https://github.com/OpenNLPLab/HGRN" target="_blank">GitHub </a>
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+ </p>
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+
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+
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+ - [Overall Architecture](#overall-architecture)
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+ - [Experiments](#experiments)
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+ - [Environment Preparation](#environment-preparation)
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+ - [Env1](#env1)
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+ - [Env2](#env2)
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+ - [Autoregressive language model](#autoregressive-language-model)
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+ - [1) Preprocess the data](#1-preprocess-the-data)
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+ - [2) Train the autoregressive language model](#2-train-the-autoregressive-language-model)
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+ - [Image modeling](#image-modeling)
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+ - [LRA](#lra)
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+ - [1) Preparation](#1-preparation)
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+ - [2) Training](#2-training)
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+ - [Standalone code](#standalone-code)
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  ## Overall Architecture