1.环境配置.txt

#下载Anaconda
wget https://repo.anaconda.com/archive/Anaconda3-2023.03-1-Linux-x86_64.sh

#安装Anaconda
sh Anaconda3-2023.03-1-Linux-x86_64.sh

#创建Python环境
conda create -n pt2 python=3.10

#切换到pt2环境
conda activate pt2

#安装PyTorch,学习本套代码使用CPU版本即可
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu

#安装CUDA版本的PyTorch(可选)
#一个环境下装了CPU版本就不能再安装CUDA版本,二选一即可
#更多版本:https://pytorch.org/get-started/previous-versions
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

#安装Huggingface
pip install datasets==2.13.0
pip install transformers==4.30.2

#安装Jupyter Notebook
pip install jupyter

#生成配置文件
jupyter notebook --generate-config --allow-root

#配置允许远程访问和访问令牌
vim ~/.jupyter/jupyter_notebook_config.py
c.NotebookApp.ip = '*'
c.NotebookApp.token = 'your_token_here'

#启动
jupyter notebook --config=/root/.jupyter/jupyter_notebook_config.py --allow-root --notebook-dir=/path/to/your/code

#访问
http://your_server_ip:8888