Sentence Similarity
sentence-transformers
Safetensors
French
modernbert
feature-extraction
Generated from Trainer
dataset_size:47560
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Steve77/modernbert-embed-base-bible with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Steve77/modernbert-embed-base-bible with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Steve77/modernbert-embed-base-bible") sentences = [ "Pourquoi l'enfant de Jéroboam sera-t-il le seul de sa maison à être enterré?", "Nathan le prophète.", "Parce qu'il est le seul de la maison de Jéroboam en qui se soit trouvé quelque chose de bon devant l'Éternel, le Dieu d'Israël.", "Deux ans." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download modules.json from Steve77/modernbert-embed-base-bible: direct link, hf CLI and curl.
- Browser
- Download file 349 Bytes
-
https://huggingface.co/Steve77/modernbert-embed-base-bible/resolve/main/modules.json
- Command line
-
hf download hf://Steve77/modernbert-embed-base-bible/modules.json
-
curl -L -o modules.json https://huggingface.co/Steve77/modernbert-embed-base-bible/resolve/main/modules.json
349 Bytes
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": "", | |
| "type": "sentence_transformers.models.Transformer" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Pooling", | |
| "type": "sentence_transformers.models.Pooling" | |
| }, | |
| { | |
| "idx": 2, | |
| "name": "2", | |
| "path": "2_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |