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-0.5.70.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | fb5957b1ceb863fc3661e141ab39f33d0cb2d9a96b4a2f4bfcafe804e1b49124 |
|
MD5 | f905103e52abdbd2b7014f1713785e7b |
|
BLAKE2b-256 | bf5d71c0a937c8159c6d81e3b63a058e8b41e0440a4886c0c4d5132789b098a9 |
Close
Hashes for pyprocessors_opennre-0.5.70-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5969d79018577e9adeb630ed8051ebbd06a91b6746552ef554c9a3e900f79c34 |
|
MD5 | 7be63a5f7f1baf25f6bfdfd11e9e541e |
|
BLAKE2b-256 | 5fd65806f3447609e3d5bbdf111c94b51afd65cc4037a46e5a5d6a34a42f57ac |