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-0.5.48.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e185a1a9663831b0fe64cf83250f5e427a14bca209ca1382d71535d98ce3d9b6 |
|
MD5 | 8aa1a3c82a193e469f97c423b3de101f |
|
BLAKE2b-256 | f5ad2835db221118a0ad64811605123a9d43cd093574709f846d2cf8c8377714 |
Close
Hashes for pyprocessors_afp_keywords-0.5.48-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 19c03867ed34306fe8150ad2dcfeceaf5ad23cb5f55caaa26ec0ad5efec7e7e0 |
|
MD5 | 7797e2eb6736b550aa432d0fdf4343a2 |
|
BLAKE2b-256 | 6f842c00cdd6b131fde4641fb2dee7961e3a2d08e27a9aea218603dc2af5ec79 |