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.