Installation

We support Linux and Windows platforms, Python 3.6 and Python 3.7.

Note

• Python 3.5 is not supported!

• installation for Windows requires Git for Windows (for example, git ), Visual Studio 2015/2017 with C++ build tools installed!

1. Create a virtual environment:

   python -m venv env
   

2. Activate the environment:

   • Linux

     source ./env/bin/activate
     

   • Windows

     .\env\Scripts\activate.bat
     

3. Install the package inside this virtual environment:

   pip install deeppavlov
   

Docker Images

We have built several DeepPavlov based Docker images, which include:

• DeepPavlov based Jupyter notebook Docker image;

• Docker images which serve some of our models and allow to access them via REST API (riseapi mode).

Here is our DockerHub repository with images and deployment instructions.