Instructions to use anon4papersubmission/PILOT-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anon4papersubmission/PILOT-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anon4papersubmission/PILOT-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Remove absolute training paths from adapter metadata; point base_model at the public Qwen3-Reranker
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Remove download.sh (belongs in the code repo)
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Remove MODEL_CARD.md (belongs in the code repo)
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Proper model card as the repo front page
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PILOT: fine-tuned retrievers + contextual-reranker LoRA adapters
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initial commit
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