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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.