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emrekuruu
/
RetrievalRouter-lambda-l30

Text Classification
Transformers
Safetensors
PEFT
English
retrievalrouter
feature-extraction
retrieval
document-retrieval
information-retrieval
routing
RAG
query-routing
late-interaction
lora
custom_code
Model card Files Files and versions
xet
Community

Instructions to use emrekuruu/RetrievalRouter-lambda-l30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emrekuruu/RetrievalRouter-lambda-l30 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emrekuruu/RetrievalRouter-lambda-l30", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("emrekuruu/RetrievalRouter-lambda-l30", trust_remote_code=True, device_map="auto")
  • PEFT

    How to use emrekuruu/RetrievalRouter-lambda-l30 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
RetrievalRouter-lambda-l30
1.52 kB
Ctrl+K
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  • 2 contributors
History: 1 commit
ananoymous's picture
ananoymous
initial commit
5b6bc94 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago