Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
mteb
feature-extraction
dataset_size:100K<n<1M
loss:AnglELoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use Gameselo/STS-multilingual-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Gameselo/STS-multilingual-mpnet-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gameselo/STS-multilingual-mpnet-base-v2") sentences = [ "有些人在路上溜达。", "Folk går", "Otururken gitar çalan adam.", "ארה\"ב קבעה שסוריה השתמשה בנשק כימי" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K