Sentence Similarity
sentence-transformers
Safetensors
English
bert
embeddings
semantic-search
compact
serverless
neurosense
text-embeddings-inference
Instructions to use Sharjeelbaig/Neurosense-Compact-GTE-R1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sharjeelbaig/Neurosense-Compact-GTE-R1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sharjeelbaig/Neurosense-Compact-GTE-R1") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle