Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
xlm-roberta
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/biencoder-mMiniLMv2-L12-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use antoinelouis/biencoder-mMiniLMv2-L12-mmarcoFR with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("antoinelouis/biencoder-mMiniLMv2-L12-mmarcoFR") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
File size: 160 Bytes
a73ed9c | 1 2 3 | MRR@10,NDCG@10,MAP@10,Recall@10,Recall@100,Recall@500,model
24.74,29.41,24.23,45.40,71.52,84.42,biencoder-mMiniLMv2-L12-H384-distilled-from-XLMR-Large-mmarcoFR
|