Model Details
Full Model IDcointegrated/rubert-tiny2
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)1.4M
Likes167
Last Modified12/30/2025
Author / Orgcointegrated
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("sentence-similarity", model="cointegrated/rubert-tiny2")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
sentence-transformerspytorchsafetensorsbertpretrainingrussianfill-maskembeddingsmasked-lmtinyfeature-extractionsentence-similaritytransformersrulicense:mittext-embeddings-inferenceendpoints_compatibleregion:us
More sentence-similarity Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: sentence-similarity
This model is designed for the sentence-similarity task. Explore more models for this use case.
All sentence-similarity Models →📊 Popularity
⬇ Downloads1.4M
❤️ Community Likes167
🛠️ Requirements
- →Install: pip install sentence-transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.