pipinstall --upgrade diffuserspipinstall transformers#安装pytorch,根据官网选择对应环境的命令进行安装。https://pytorch.org/get-started/locally/```3. 在自己的命令行上,输入“huggingface-cli login”,出现 successful 即已经成功: pip install transformers==4.45.2 torch==2.5.0 datasets tensorflow==2.18.0 accelerate==1.1.1 Python推荐3.11 建议从huggingface上下载模型到本地,再进行训练或者在初次运行时打开梯子 00:00 ...
parent=matplotlib=3.7.3 requirement=numpy>=1.20.3; python_version < "3.10", parent=pandas=2.0.3 requirement=numpy>=1.17, parent=transformers=4.33.3 requirement=numpy<2.0,>=1.16; python_version <= "3.11", parent=contourpy=1.1.1 requirement=numpy>=1.13.3, parent=scikit-learn=0.23.2 requireme...
install_requires = ['numpy>=1.17', 'h5py', 'torch>=1.10', 'torchvision>=0.10', 'lightning', 'tensorboard', 'transformers', 'timm', 'scikit-learn', 'scikit-image', 'rasterio', 'pyproj', 'geopandas'], python_requires = ">=3.8", ...
文件夹2:taming-transformers 文件夹3:k-diffusion 文件夹4:CodeFormer 文件夹5:BLIP 1.win+r,cmd进入界面 2.输入git clone https://github.com/Stability-AI/stablediffusion.git "F:\aii\stable-diffusion-webui\repositories\stable-diffusion-stability-ai" ...
摘要ImportError: cannot import name 'BertTokenizer' from 'transformers' 通常是由于库的版本不匹配或依赖配置不正确引起的。...原因分析及解决方法 2.1 库版本不兼容最常见的原因是你的transformers库版本不支持直接导入 BertTokenizer。...你可以通过pip check命令来检查你的环境是否存在依赖冲突: pip check 如果有...
#!/usr/bin/env python #coding:utf-8 import os import tarfile setuptools_url='https://pypi....