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-0.5.112.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 16460fb8cb2eb5c0948577874a641a2b8a51d3ac264726c1540bfc70a9be82d3 |
|
MD5 | e40a753bdd0fe76bc46fc074ef6d0223 |
|
BLAKE2b-256 | 62141e8b9aa224a76e7f7ea2973d5708370e1f8edc086ad0b4561705c926666c |
Close
Hashes for pyprocessors_opennre-0.5.112-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c7710feb50e4c6a8d3586d26a6eb899aba4533c5065c78c7a39abd7026124a3b |
|
MD5 | b6a916a9db2cefaa5c6938a7606a59aa |
|
BLAKE2b-256 | 180910a567b95d73e8db5eeea1d7ffff461778beb181d12427716db521b47eab |