SpaCy: Difference between revisions
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[https://spacy.io/ spaCy] is a Python package that provides industrial-strength natural language processing. | [https://spacy.io/ spaCy] is a Python package that provides industrial-strength natural language processing. | ||
= Installation = | = Installation = <!--T:26--> | ||
==Latest available wheels== | ==Latest available wheels== | ||
To see the latest version of <tt>spaCy</tt> that we have built: | To see the latest version of <tt>spaCy</tt> that we have built: | ||
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For more information on listing wheels, see [[Python#Listing_available_wheels | listing available wheels]]. | For more information on listing wheels, see [[Python#Listing_available_wheels | listing available wheels]]. | ||
==Pre-build== | ==Pre-build== <!--T:27--> | ||
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The preferred option is to install it using the python [https://pythonwheels.com/ wheel] that we compile, as follows: | 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 a python module, either <tt>python/2.7</tt>, <tt>python/3.5</tt>, or <tt>python/3.6</tt> | ||
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:{{Command|prompt=(venv) [name@server ~]|pip install spacy --no-index}} | :{{Command|prompt=(venv) [name@server ~]|pip install spacy --no-index}} | ||
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'''Note''': if you want to use <tt>thinc</tt> [https://docs.computecanada.ca/wiki/PyTorch Pytorch] wrapper, you'll also need to install <tt>torch_cpu</tt> or <tt>torch_gpu</tt> wheel. | '''Note''': if you want to use <tt>thinc</tt> [https://docs.computecanada.ca/wiki/PyTorch Pytorch] wrapper, you'll also need to install <tt>torch_cpu</tt> or <tt>torch_gpu</tt> wheel. | ||
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Revision as of 23:43, 12 November 2018
spaCy is a Python package that provides industrial-strength natural language processing.
Installation
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.
Pre-build
The preferred option is to install it using the python wheel that we compile, as follows:
- 1. Load a python module, either python/2.7, python/3.5, or 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
Note: if you want to use thinc Pytorch wrapper, you'll also need to install torch_cpu or torch_gpu wheel.