Processor based on Huggingface transformers zero-shot classification pipeline
Project description
pyprocessors_afp_keywords
Processor based on Facebook's afp_keywords
Installation
You can simply pip install pyprocessors_afp_keywords
.
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_afp_keywords
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_afp_keywords-0.5.61.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 665388f5150f8044c1ba4e61d10c77b47bb9c5836628aa6fe50324c1bdd79456 |
|
MD5 | 1131dd769fd57bb6293b4eb09d490fb2 |
|
BLAKE2b-256 | 8fa57e9c031187cea927073edd89c309ed7fe3ab84c22169d068f485918745e9 |
Close
Hashes for pyprocessors_afp_keywords-0.5.61-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f7f040aceb3db141ccf38915a69320e40aec8484b12ea62797ace4c040ea58c9 |
|
MD5 | 3e7d0040cf262b61ded68232a9a701f1 |
|
BLAKE2b-256 | 62fa11f8f5b6cd63b5d4fda3cb5bcab2c6c0e3fe55c4fd231ed3b25377dfb3c3 |