license | datasets | language | metrics | library_name | pipeline_tag | |||
---|---|---|---|---|---|---|---|---|
apache-2.0 |
|
|
|
transformers |
token-classification |
pip install .
or
pip install -e .
for an editable installation
You will need an globally accessible DVC
installation.
You can install DVC as a binary with pipx
by doing:
pip install pipx
pipx install dvc[s3]
This whole project is versioned as a DVC pipeline: from gathering external data, cleaning it, and training a model.
You can reproduce the entire pipeline by doing
dvc repro
You can check the pipeline stages by doing
dvc dag
or by looking inside dvc.yaml
.