Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:3779
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use LilNomto/labse_oi_bo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LilNomto/labse_oi_bo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LilNomto/labse_oi_bo") sentences = [ "oM ma Ni pad+me hUM|", "xamuq bayidal tögüsüqsen bayidal ügei:", "burxan zarliq bolboi: subudi öün-dü you sedkikü: γurban mingγani yeke mingγan yertünčüyin orondu γazariyin tōsun kedüi bui töüni olon kemēn sedkikü buyu:", "oṁ ma ni pad me huṁ:" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle