Sentence Similarity
sentence-transformers
Safetensors
French
bert
feature-extraction
Generated from Trainer
dataset_size:47560
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Steve77/bge-base-bible-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Steve77/bge-base-bible-retrieval with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Steve77/bge-base-bible-retrieval") sentences = [ "Qui a écouté le roi Asa et envoyé son armée contre les villes d'Israël?", "Ben-Hadad.", "Il se prosterna devant le roi, le visage contre terre.", "Baescha, fils d'Achija." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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