🤖 sentence-similarity

paraphrase-multilingual-MiniLM-L12-v2

sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2

Get AI Model →
55.6M
Downloads
❤️
1.3K
Likes
🏷️
67
Tags
📦
sentence-transformers
Library
Model Details
Full Model IDsentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)55.6M
Likes1.3K
Last Modified1/28/2026
Author / Orgsentence-transformers
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="sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
sentence-transformerspytorchtfonnxsafetensorsopenvinobertfeature-extractionsentence-similaritytransformersmultilingualarbgcacsdadeelenesetfafifrglguhehihrhu
More sentence-similarity Models
See all →
all-MiniLM-L6-v2

sentence-transformers/all-MiniLM-L6-v2

253.5M❤️ 5.3K
Get AI Model →
bge-small-en-v1.5

BAAI/bge-small-en-v1.5

67.9M❤️ 540
Get AI Model →
bge-m3

BAAI/bge-m3

37.0M❤️ 3.5K
Get AI Model →
🚀 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
Downloads55.6M
❤️ Community Likes1.3K
🛠️ 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.
👋 Need help with code?