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This site replaces the former Compute Canada documentation site, and is now being managed by the Digital Research Alliance of Canada.

Ce site remplace l'ancien site de documentation de Calcul Canada et est maintenant géré par l'Alliance de recherche numérique du Canada.

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spaCy is a Python package that provides industrial-strength natural language processing.


Latest available wheels

To see the latest version of spaCy that we have built:

[name@server ~]$ avail_wheels spacy thinc thinc_gpu_ops

For more information on listing wheels, see listing available wheels.


The preferred option is to install it using the python wheel that we compile, as follows:

1. Load python 3.6 module: python/3.6
2. Create and activate a virtual environment.
3. Install spaCy in the virtual environment with pip install. For both GPU and CPU support:
(venv) [name@server ~] pip install spacy[cuda] --no-index
If you only need CPU support:
(venv) [name@server ~] pip install spacy --no-index

GPU version: At the present time, in order to use the GPU version you need to add the CUDA libraries to LD_LIBRARY_PATH:

(venv) [name@server ~] module load gcc/5.4.0 cuda/9
(venv) [name@server ~] export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH

If you want to use the Pytorch wrapper with thinc, you'll also need to install the torch_cpu or torch_gpu wheel.