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
Commit History
-
Update README.md
Verified signature15b4216 -
Update README.md
Verified signature40e472a -
Update README.md
Verified signatured5a8d37 -
Upload qtack_logo.png
Verified signature16610b9 -
Update README.md
Verified signature32d067f -
Upload github logo.png
Verified signature329dd56 -
Update README.md
Verified signaturee81315a -
Update README.md
Verified signaturebe931d3 -
Update README.md
Verified signaturec1c9ee4 -
Update README.md
Verified signature812f5fd
-
Update README.md
Verified signatureupdate license7fbe6f9
-
Upload README.md
Verified signatureupdate model results6ec166c -
Update README.md
Verified signaturetest934eade -
Update README.md
Verified signature2fe98b3 -
Update model_card.md
Verified signaturefix model name3c04406 -
Upload 14 files
Verified signatureupload model634c39b -
initial commit
Verified signaturee62f92a