Update README.md

README.md

@@ -7,15 +7,16 @@ datasets:
 metrics:
 - recall
 tags:
-- feature-extraction
 - sentence-similarity
-library_name: colbert
+- colbert
+base_model: antoinelouis/camembert-L4
+library_name: RAGatouille
 inference: false
 ---
 
-# colbertv2-camembert-L4-mmarcoFR
+# 🇫🇷 colbertv2-camembert-L4-mmarcoFR
 
-This is a lightweight [ColBERTv2](https://doi.org/10.48550/arXiv.2112.01488) model for French that can be used for semantic search. It encodes queries & passages into matrices of token-level embeddings and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators. The model was trained on the **French** portion of the [mMARCO](https://huggingface.co/datasets/unicamp-dl/mmarco) dataset.
+This is a lightweight [ColBERTv2](https://doi.org/10.48550/arXiv.2112.01488) model for **French** that can be used for semantic search. It encodes queries and passages into matrices of token-level embeddings and efficiently finds passages that contextually match the query using scalable vector-similarity (MaxSim) operators.
 
 ## Usage