Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:5489
loss:TripletLoss
text-embeddings-inference
Instructions to use KayaAI/finetuned_embedding_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KayaAI/finetuned_embedding_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KayaAI/finetuned_embedding_v2") sentences = [ "07 42 33 Plastic Wall Panels", "03 31 00 Structural Concrete", "05 53 13 Bar Gratings", "07 42 43 Composite Wall Panels" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K