Name		Name	Last commit message	Last commit date
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Model-SavedDictionary.ipynb		Model-SavedDictionary.ipynb
Model-SentenceTransformers.ipynb		Model-SentenceTransformers.ipynb
Model-Sklearn.ipynb		Model-Sklearn.ipynb
Model-SpaCy.ipynb		Model-SpaCy.ipynb
README.md		README.md

README.md

Basic Usage

The following notebooks demonstrate how to construct a basic model for a single annotation task:

Model with Scikit-learn - This notebook demonstrates how to construct a model using the scikit-learn library.
Model with SpaCy - This notebook demonstrates how to construct a model using the SpaCy library.
Model with Sentence-Transformers - This notebook demonstrates how to construct a model using the Sentence-Transformers library.
Model with Saved Dictionary - This notebook demonstrates how to construct a model using vectors from a saved dictionary. This can be useful if you have a large number of annotations and want to save time by not having to recompute the vectors for each annotation.