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-0.5.41.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9007351c1f36db65145bfb550425f21d8d193419897a497b35d2b7b078e109a4 |
|
MD5 | 220f79951f7e2001fd56d85ff7f44fdb |
|
BLAKE2b-256 | d5eb3a95af5725699881ded5645a61a56d56e293b7eee96a582562f857eeabb9 |
Close
Hashes for pyprocessors_afp_keywords-0.5.41-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9cc76257fe6ffdd0c7e9bf8588dfd790f60c49679d6eef790da9d64c2c4baf54 |
|
MD5 | 0475964eab949fc1b302878499555f74 |
|
BLAKE2b-256 | 4eab9a3cc07fc32e854fca303f354ed4eaa9c5b0d5e06885e072dace5052600c |