Annotator based on Spacy NER
Project description
pyannotators_spacyner
Annotator based on Facebook's SpacyNER
Installation
You can simply pip install pyannotators_spacyner
.
Developing
Pre-requesites
You will need to install flit
(for building the package) and tox
(for orchestrating testing and documentation building):
python3 -m pip install flit tox
Clone the repository:
git clone https://github.com/oterrier/pyannotators_spacyner
Running the test suite
You can run the full test suite against all supported versions of Python (3.8) with:
tox
Building the documentation
You can build the HTML documentation with:
tox -e docs
The built documentation is available at `docs/_build/index.html.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for pyannotators-spacyner-0.5.65.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 570e01449116d8cbb3e9f14804ab659b74d2362e7246f287ed7a9dd7b6a79773 |
|
MD5 | b16f7688ade17b328f1a724220ae5742 |
|
BLAKE2b-256 | 3925661f704ba727f81ab9fa6de7ca4eeef7156fd057d27bd848c578afa61dc9 |
Close
Hashes for pyannotators_spacyner-0.5.65-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c82017366d35ce5cfc6f2ab425a3860eb5f21512f82b103428a622e1de164da0 |
|
MD5 | 359046ee5fc2940b6629095bb82cc70b |
|
BLAKE2b-256 | 70ae157321a6d8cb7e0e6cc199eef615c605ecb00cd549f91057c192015a2441 |