https://github.com/letianlee/bert-jittor

A BERT model built with Jittor | 计图版 BERT 模型 | 计图 NLP 教程
https://github.com/letianlee/bert-jittor

bert bert-model jittor jittor-tutorial language-model nlp nlp-tutorial text-classification

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A BERT model built with Jittor | 计图版 BERT 模型 | 计图 NLP 教程

• Host: GitHub
• URL: https://github.com/letianlee/bert-jittor
• Owner: LetianLee
• License: apache-2.0
• Created: 2022-04-15T22:33:19.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-08-11T11:16:25.000Z (over 2 years ago)
• Last Synced: 2023-08-04T02:13:45.224Z (over 1 year ago)
• Topics: bert, bert-model, jittor, jittor-tutorial, language-model, nlp, nlp-tutorial, text-classification
• Language: Jupyter Notebook
• Homepage:
• Size: 329 KB
• Stars: 5
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# BERT-Jittor

A BERT model built with Jittor.   

# BERT 计图版

本项目采用 计图(Jittor) 框架实现 BERT 模型。

请阅读示例：

[*计图 NLP 教程 - BERT分类器.ipynb*](https://github.com/LetianLee/BERT-Jittor/blob/main/%E8%AE%A1%E5%9B%BE%20NLP%20%E6%95%99%E7%A8%8B%20-%20BERT%E5%88%86%E7%B1%BB%E5%99%A8.ipynb)

## 说明

### 1. 环境与安装

首先，下载并安装 Anaconda3。 官网下载地址为: https://www.anaconda.com/products/distribution#Downloads  

然后，执行以下命令：

```bash

# Create a conda envs

conda create -n bert_jittor python=3.7 ipython

conda activate bert_jittor

# Install Jittor 

pip install jittor

# Install other libraries

pip install jupyter==1.0.0

pip install pandas==1.2.4

pip install matplotlib==3.3.4

pip install seaborn==0.11.1

```

### 2. 启动 Jupyter 并查看示例教程

在命令行中输入 ```jupyter notebook``` 启动。随后即可浏览并运行示例教程。