Sentence Similarity
sentence-transformers
Safetensors
French
xlm-roberta
legal
french
embeddings
retrieval
text-embeddings-inference
Instructions to use IvanDVonga/LegalEmbed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use IvanDVonga/LegalEmbed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("IvanDVonga/LegalEmbed") 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
| { | |
| "embedding_dimension": 768, | |
| "pooling_mode": "mean", | |
| "include_prompt": true | |
| } |