Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:9035
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use fajayi/nomi-name-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fajayi/nomi-name-encoder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fajayi/nomi-name-encoder") sentences = [ "Igbo name meaning 'Counsel is good'", "Izukamma", "Adematii", "Onaolapo" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle