Instructions to use Sashavav/rag-resource-allocator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sashavav/rag-resource-allocator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sashavav/rag-resource-allocator", trust_remote_code=True) model = AutoModel.from_pretrained("Sashavav/rag-resource-allocator", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload ONNX exported Jina reranker bundle (from local checkpoint)
Browse files- README.md +1 -1
- model.onnx +2 -2
- model.onnx_data +2 -2
README.md
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## Export details
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- ONNX opset: 18
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- Exported at: 2026-05-19T08:
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## Export details
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- ONNX opset: 18
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- Exported at: 2026-05-19T08:56:08.644484+00:00
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model.onnx
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