Sentence Similarity
sentence-transformers
Safetensors
English
bert
feature-extraction
Generated from Trainer
dataset_size:200000
loss:MultipleNegativesRankingLoss
loss:ContrastiveLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use manestay/bge-base-en-v1.5-mnrl-cl-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use manestay/bge-base-en-v1.5-mnrl-cl-multi with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("manestay/bge-base-en-v1.5-mnrl-cl-multi") sentences = [ "What is the best sushi restaurant in Los Angeles, aside from Urasawa which is impractical for regular visits?", "How do I stop feeling sorry for ignorant and arrogant people?", "What are the best sushi restaurants in Los Angeles?", "Why do people flirt on Quora?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle