Sentence Similarity
sentence-transformers
Safetensors
English
distilbert
feature-extraction
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use tomaarsen/stsb-distilbert-base-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tomaarsen/stsb-distilbert-base-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tomaarsen/stsb-distilbert-base-mnrl") sentences = [ "How metro works?", "How can Turing machine works?", "What are the best C++ books?", "What should I learn first in PHP?" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Ctrl+K