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-0.5.180.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fc775ffc87a37612708a378f4d44e539772ff124180abb2ae4a6309a2b4e31b |
|
MD5 | 846b0ff43991300bb1b16e19095c37fa |
|
BLAKE2b-256 | 3103d1ccc9a2efeb0717368015c1dc8cb65699644109dc6296bb5fa06236c25d |
Close
Hashes for pyannotators_spacyner-0.5.180-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef7dbd4e8193901fbf828aa9a77066dc2ffc12f4929ef02e2005ea2417c0242f |
|
MD5 | 9ee642f2e5e1c1e55a2c251093708516 |
|
BLAKE2b-256 | 0716ed2b89281de1882c355609645b7915c7ee0fec366c915c4cd71d5eff7804 |