Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:21681
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use craigtrim/edu-alias-mapper-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use craigtrim/edu-alias-mapper-e5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("craigtrim/edu-alias-mapper-e5") sentences = [ "cavendishza.org", "Agricultural University of Havana", "Cavendish University Zambia", "École nationale supérieure de chimie de Rennes" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!