icone google colab

README.md

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 [![Tests](https://github.com/p2m2/encoder-ontology-match-abstract/actions/workflows/ci.yml/badge.svg)](https://github.com/p2m2/encoder-ontology-match-abstract/actions/workflows/ci.yml)
 
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/p2m2/encoder-ontology-match-abstract/blob/main/llm-semantic-annotator.ipynb)
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 LLMSemanticAnnotator employs Semantic Textual Similarity (STS) to annotate scientific articles with controlled vocabulary, based on precise term definitions. This implementation primarily leverages ontologies from the Planteome project, while also incorporating other relevant sources, to address the lack of detailed annotations in scientific articles, particularly regarding experimental conditions and plant developmental stages.
 
 ## Detailed Functioning