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-0.5.220.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 051b3a226f2c37d8039f344cf9a0cf6b379e25abe3133b89f4a59c9635defd22 |
|
MD5 | 8eb6877c5c68a3149c58c91e85321a6c |
|
BLAKE2b-256 | 96eaa24b10b583e546819775956f8c8dfd9155ef29a5120a85d89cdd6ab67258 |
Close
Hashes for pyannotators_spacyner-0.5.220-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0e526e4bd3c7f186ede4efb999f955bd3ba537132717a1393eed9c5bd4f9e686 |
|
MD5 | 153dc6a704d93c1617ffb79618aad5df |
|
BLAKE2b-256 | f8a184d97c2693b7db2dcb5d2f52a50b0bf5661b9f4d2aa44d3d0312cac7070e |