Revision as of 15:54, 13 November 2018

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

Installation

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 start 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: for the moment, you need to point out where the CUDA libraries live:

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

Note: if you want to use thinc Pytorch wrapper, you'll also need to install torch_cpu or torch_gpu wheel.

@@ Line 16: / Line 16: @@
 <!--T:28-->
 The preferred option is to install it using the python [https://pythonwheels.com/ wheel] that we compile, as follows:
-:1. Load a python module, either <tt>python/2.7</tt>, <tt>python/3.5</tt>, or <tt>python/3.6</tt>
+:1. Load python 3.6 module: <tt>python/3.6</tt>
 :2. Create and start a [[Python#Creating_and_using_a_virtual_environment|virtual environment]].
 :3. Install <tt>spaCy</tt> in the virtual environment with <code>pip install</code>. For both GPU and CPU support: