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-0.5.59.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3511a585db3b1912874420b7f6323e36015f5dd9e332c3814d50012cb81c0a88 |
|
MD5 | f81d020e5da2bc176836222d4212a47c |
|
BLAKE2b-256 | 283fc62f91583275cf168940494717f09282178816ebf077d6ae311c875955f2 |
Close
Hashes for pyprocessors_afp_keywords-0.5.59-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6b8bc6102fdab502420d8b58db470e61e994f9fb21766560d7dc3d5ffbc2ba25 |
|
MD5 | b03cfa24c2937f45a9a092139594a2bc |
|
BLAKE2b-256 | 492142681097548e1fa1f9cde8a649560f7ab1f2abcbdb3331606ab754df8cd8 |