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Annotator based on Huggingface transformers zero-shot classification pipeline

Project description

pyannotators_trfclassifier

license tests codecov docs version PyPI - Python Version

Classifier based on Huggingface Text Classification pipeline

Installation

You can simply pip install pyannotators_trfclassifier.

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/pyannotators_trfclassifier

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


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pyannotators-trfclassifier-0.5.0.tar.gz (57.4 kB view details)

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