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-0.5.31.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0d8f6737c4a82280e68496bca591df0ac8cb5e5ebe8bd64cd70b230b0ca647ca |
|
MD5 | 2b81178e788180e1e87bf642ebb2c6ed |
|
BLAKE2b-256 | 01f646777c1f694bf901ff7c4de67c3b1a084e2682b22b9e9fe9d5896bf4ddd2 |
Close
Hashes for pyannotators_spacyner-0.5.31-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7e6683f22107de2cb25d2aca128858e40e6fce551f6b7d036e59772c5901cc6c |
|
MD5 | 2700491e9eb83950b1856d8646642c34 |
|
BLAKE2b-256 | bca6af469b7bea1e6da5f47decd4570e2bf646886b935dfcae843db2802189c6 |