Sentence Similarity
sentence-transformers
Safetensors
Romanian
bert
information-retrieval
legal
romanian
rag
text-embeddings-inference
Instructions to use GRAI-UNSTPB/multilingual-e5-small-RoD-TAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GRAI-UNSTPB/multilingual-e5-small-RoD-TAL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GRAI-UNSTPB/multilingual-e5-small-RoD-TAL") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
You need to agree to share your contact information to access this model
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
By requesting access you confirm that you will use this model exclusively for academic research purposes, will not use it for commercial products and will not redistribute the model
Log in or Sign Up to review the conditions and access this model content.
Gated model You can list files but not access them
Preview of files found in this repository