Sentence Similarity
sentence-transformers
PyTorch
OpenVINO
bert
feature-extraction
Generated from Trainer
dataset_size:96724
loss:Matryoshka2dLoss
loss:MatryoshkaLoss
loss:TripletLoss
loss:MultipleNegativesRankingLoss
loss:CoSENTLoss
text-embeddings-inference
Instructions to use ostoveland/SBertBaseMittanbudver3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ostoveland/SBertBaseMittanbudver3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ostoveland/SBertBaseMittanbudver3") sentences = [ "installere nytt gulv i låve", "sparkling av 130 kvm vegg på loft", "legge nytt gulv i låve", "plenanlegg" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K