Model Details
Full Model IDjinaai/jina-reranker-v2-base-multilingual
Pipeline / Tasktext-ranking
Librarytransformers
Downloads (all-time)1.6M
Likes351
Last Modified10/21/2025
Author / Orgjinaai
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-ranking", model="jinaai/jina-reranker-v2-base-multilingual")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
transformerspytorchonnxsafetensorstext-classificationrerankercross-encodertransformers.jssentence-transformerstext-rankingcustom_codemultilinguallicense:cc-by-nc-4.0region:eu
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: text-ranking
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⬇ Downloads1.6M
����� Community Likes351
🛠�� Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.