To use spaCy models in DSS, you can start by installing it like any other Python package in DSS: by creating a code environment and adding "spacy" to your package requirements. To do so, follow this documentation.
However, some functionalities of spaCy, such as language-specific tokenizers, rely on models that are not bundled in the library itself. To use these models, you need an additional download step. Typically, this can create issues on shared DSS nodes where users do not have write access to shared locations on the server (see User Isolation Framework).