Sentence Similarity
sentence-transformers
Safetensors
Dutch
modernbert
feature-extraction
Generated from Trainer
dataset_size:8066634
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use Parallia/Fairly-Multilingual-ModernBERT-Embed-BE-NL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Parallia/Fairly-Multilingual-ModernBERT-Embed-BE-NL with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Parallia/Fairly-Multilingual-ModernBERT-Embed-BE-NL") sentences = [ "Er kwamen drie mysterieuze mannen ter hulp.", "Drie vreemde lui hielpte ons dan.", "Er kwamen drie zwarte vogels in onze tuin.", "Er zijn mensen die hulpzaam zijn.", "Een, twee, drie... Wie kan de volgende cijfers raden?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [5, 5] - Notebooks
- Google Colab
- Kaggle
Ctrl+K