Instructions to use OpenVINO/Qwen3-Reranker-0.6B-int8-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-int8-ov with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OpenVINO/Qwen3-Reranker-0.6B-int8-ov") model = AutoModelForCausalLM.from_pretrained("OpenVINO/Qwen3-Reranker-0.6B-int8-ov", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81608b7b072fb5d0d97998d1a99eab4b110be4699c75eacc6f4fb09188009f84
- Size of remote file:
- 597 MB
- SHA256:
- c64cf6aca738b553f85914522a05fd9898d1f54acc26953a6737dfd2f0dc53f3
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