Processor based on Huggingface transformers zero-shot classification pipeline
Project description
pyprocessors_opennre
Processor based on Facebook's OpenNRE
Installation
You can simply pip install pyprocessors_opennre
.
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/pyprocessors_opennre
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 pyprocessors-opennre-0.5.34.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a53296606f0c7c946e92a60cb24198e6e12d715248f0181cc5c6319e734cf6a9 |
|
MD5 | 7950d85ad9676d7497b0dadbdf4edf6f |
|
BLAKE2b-256 | 732e327bcbdb9694d237bcdd32178ec407f49db5bd7006356379b487e4575378 |
Close
Hashes for pyprocessors_opennre-0.5.34-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 08f83cacab58405e6df50ef81726999e848fae9a1c3ae9bda1d21ded8d9767d5 |
|
MD5 | 03ded94e848687b706dda71d7953ed12 |
|
BLAKE2b-256 | fd6f1b87f9d12e1295e2e2a526ed97ae7e5d902e9a204e2bd9fc555e474f29c3 |