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:
- e58bacdc526be0af219eefbccdf8c2da8853b2e3dc432fb71f452701269abeb3
- Size of remote file:
- 2.19 MB
- SHA256:
- d73093f72c80ebcaffb76a192727170ecd3c6a06c4df52df0e76b3f70ad9d7f7
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