Instructions to use OpenVINO/Qwen3-Reranker-0.6B-fp16-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenVINO/Qwen3-Reranker-0.6B-fp16-ov with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenVINO/Qwen3-Reranker-0.6B-fp16-ov") model = AutoModelForCausalLM.from_pretrained("OpenVINO/Qwen3-Reranker-0.6B-fp16-ov", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54441417b53edd5162da82680fc67078521e2680eaa8f2fe45c81abee69a6b91
- Size of remote file:
- 5.59 MB
- SHA256:
- 63c613e041e2d7f84f7376d6b628b72c8af29259b4d1b27540035f0d9ef034b3
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