Instructions to use shawnw3i/Qwen3-Reranker-4B-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shawnw3i/Qwen3-Reranker-4B-ONNX with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shawnw3i/Qwen3-Reranker-4B-ONNX")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shawnw3i/Qwen3-Reranker-4B-ONNX") model = AutoModelForCausalLM.from_pretrained("shawnw3i/Qwen3-Reranker-4B-ONNX") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c89162ef93b8af9bf782bb5ba2c4e4377c8f173faccac2579b776b2e3e9157e
- Size of remote file:
- 8.04 GB
- SHA256:
- c3a33b0c3c4c94d8977fbfefc040633fcd166bc85bb3a5356fb099c278f8aed2
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