Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:12826
loss:BatchAllTripletLoss
text-embeddings-inference
Instructions to use annazdr/nace-pl-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use annazdr/nace-pl-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("annazdr/nace-pl-v3") sentences = [ " ", " derrick erection in situ, repairing and dismantling", "Działalność usługowa związana z przeprowadzkami", "provision of intermediation services for the purchase of land, water or air transportation for passengers" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K