Model Details
Full Model IDtomaarsen/Qwen3-Reranker-0.6B-seq-cls
Pipeline / Tasktext-ranking
Librarysentence-transformers
Downloads (all-time)349.2K
Likes30
Last Modified7/10/2025
Author / Orgtomaarsen
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="tomaarsen/Qwen3-Reranker-0.6B-seq-cls")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
sentence-transformerssafetensorsqwen3text-classificationtransformerstext-rankingbase_model:Qwen/Qwen3-0.6B-Basebase_model:finetune:Qwen/Qwen3-0.6B-Baselicense:apache-2.0region:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: text-ranking
This model is designed for the text-ranking task. Explore more models for this use case.
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⬇ Downloads349.2K
����� Community Likes30
🛠�� 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.