Sentence Similarity
sentence-transformers
Safetensors
Transformers
Russian
bert
feature-extraction
russian
pretraining
embeddings
tiny
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use sergeyzh/rubert-tiny-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sergeyzh/rubert-tiny-turbo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sergeyzh/rubert-tiny-turbo") sentences = [ "Это счастливый человек", "Это счастливая собака", "Это очень счастливый человек", "Сегодня солнечный день" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use sergeyzh/rubert-tiny-turbo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sergeyzh/rubert-tiny-turbo") model = AutoModel.from_pretrained("sergeyzh/rubert-tiny-turbo", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature93769a3
-
Update README.md
Verified signature85a8355 -
Update README.md
Verified signaturef17cd13
-
mteb_results (#1)
Verified signature- add mteb results (e70dfe75b3c7a4470173012a9f1a0a35095f688a) - update README (05c57ac51751790839c4d2c8b19c14ad35dd06c5) - update README (855214b1d70b4de0c0233061898c8ffbad47b3a8) - update README (48cc6f47cb27d269135609691770306c0bab094f)a511bf3
-
Update README.md
Verified signatureeedda9e
-
Upload README.md
Verified signature7e1b3b3
-
"model_max_length": 2048
Verified signature7be8b33
-
Upload 10 files
Verified signature8ce0cf7 -
initial commit
Verified signaturef029c00