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-0.5.54.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 62a4fa609400ffd2210a24b8363bc9c2812ea515a53243ec2a1c10c049a0d9ca |
|
MD5 | 9d7b78534116531044f77f6442952a49 |
|
BLAKE2b-256 | eb27972c9ebb41a2711786e20a392a5eb0b311ae9f80318e02abc056f36e991a |
Close
Hashes for pyprocessors_afp_keywords-0.5.54-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4f09cbc1be6a0c1342495edf58564bfa22f30a012938d3156d1cf67d571ac5d5 |
|
MD5 | b1ef276073fec11b59ebc6c8b6e09e80 |
|
BLAKE2b-256 | dff6945b31a0d5ec1a039e548f3921eafa0a075c38ae09023372007d46774a78 |