Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
Generated from Trainer
dataset_size:5749
loss:CosineSimilarityLoss
text-embeddings-inference
Instructions to use dekshitha-k/sentence-transformers-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dekshitha-k/sentence-transformers-stsb with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dekshitha-k/sentence-transformers-stsb") sentences = [ "Navy Jet Crashes Into Apartment Building", "the problem is who doesn't have money.", "US Navy Jet Crashes into Apartment Block", "Two are trapped as US building collapses" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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