This script is intented to implement the Human in the Loop pipeline for the NER annotation task using the Label Studio labeling tool.
$ pyhton main.py <config_file>
The configuration file provided to this script must contain the sections SETTINGS and MODELS
The SETINGS section sets preferences about the Label Studio and Machine Learning interfaces. The following options must be provided:
| Option | Description |
|---|---|
label_studio_url |
Url for the Label Studio server |
label_studio_api_key |
API key for the Label Studio server |
labeled_project_id |
ID of the project that contains data that will be used in the training process |
lunabeled_project_id |
ID of the project that will handle the annotation process |
The MODELS section defines the models to be used in the training process. To do that, you just need to provide an arbitrary name for your model and a path for it in the Hugging Face website. For exemple:
[MODELS]
BERTimbau=neuralmind/bert-base-portuguese-cased
BERTLener=pierreguillou/bert-base-cased-pt-lenerbr
[USER]
label_studio_url=http://myserver.com/labelstudio
label_studio_api_key=1212312434
labeled_project_id=1
unlabeled_project_id=2
[MODELS]
bert=bert-base-multilingual-cased
bertimbau=neuralmind/bert-base-portuguese-cased
bertlener=pierreguillou/bert-base-cased-pt-lenerbr