Sentence Similarity
sentence-transformers
Safetensors
English
distilbert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use prdev/mini-gte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use prdev/mini-gte with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("prdev/mini-gte") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Need citation
#1
by PsamSahil - opened
i was using embedding for my research could not find any article to cite ?
Hi, sorry for the late reply. We don't have a paper or an article out that you can cite. If it's okay in your work, feel free to just use cite the link. Otherwise here's an autogenerated bib-tex if that works:
@misc {prdev_mini-gte,
title = {mini-gte},
author = {Pranav Devarinti},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/prdev/mini-gte}}
}
Thank you!