Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:101540
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use lingtrain/labse-udmurt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lingtrain/labse-udmurt with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lingtrain/labse-udmurt") sentences = [ "Пилэн пытьыез ышиз.", "— А знаете, ребята?", "Следы мальчика потеряны.", "— Ты прости меня, — иначе нельзя!" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle