Text Classification
Transformers
Safetensors
PEFT
English
retrievalrouter
feature-extraction
retrieval
document-retrieval
information-retrieval
routing
RAG
query-routing
late-interaction
lora
custom_code
Instructions to use emrekuruu/RetrievalRouter-lambda-l50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emrekuruu/RetrievalRouter-lambda-l50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emrekuruu/RetrievalRouter-lambda-l50", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emrekuruu/RetrievalRouter-lambda-l50", trust_remote_code=True, device_map="auto") - PEFT
How to use emrekuruu/RetrievalRouter-lambda-l50 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Update paper link to real arXiv (2608.25625)
Browse files
README.md
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@@ -39,7 +39,7 @@ Document Retrieval** (EMNLP 2026). Given only the **query text**, RetrievalRoute
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*which retrieval pipeline* β across **modality** (text vs. multimodal) and **architecture**
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(lexical, dense, or late-interaction rerank) β to run for that query.
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- π Paper: https://arxiv.org/pdf/2608.
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- π» Code: https://github.com/emrekuruu/retrieval-router
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- π€ Collection (all checkpoints + datasets): https://huggingface.co/collections/emrekuruu/retrieval-router
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*which retrieval pipeline* β across **modality** (text vs. multimodal) and **architecture**
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(lexical, dense, or late-interaction rerank) β to run for that query.
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- π Paper: https://arxiv.org/pdf/2608.25625
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- π» Code: https://github.com/emrekuruu/retrieval-router
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- π€ Collection (all checkpoints + datasets): https://huggingface.co/collections/emrekuruu/retrieval-router
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