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emrekuruu
/
RetrievalRouter-lambda-l70

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-l70 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use emrekuruu/RetrievalRouter-lambda-l70 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="emrekuruu/RetrievalRouter-lambda-l70", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("emrekuruu/RetrievalRouter-lambda-l70", trust_remote_code=True, device_map="auto")
  • PEFT

    How to use emrekuruu/RetrievalRouter-lambda-l70 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
RetrievalRouter-lambda-l70
2.4 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
emrekuruu's picture
emrekuruu
Use arXiv citation
dc45681 verified about 21 hours ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 months ago
  • README.md
    6.83 kB
    Use arXiv citation about 21 hours ago
  • chat_template.jinja
    4.12 kB
    Upload tokenizer about 2 months ago
  • config.json
    760 Bytes
    Set model_type=retrievalrouter 1 day ago
  • configuration_retrievalrouter.py
    1.02 kB
    Rename custom code to RetrievalRouter 1 day ago
  • model.safetensors
    2.38 GB
    xet
    Upload model about 2 months ago
  • modeling_retrievalrouter.py
    2.64 kB
    Rename custom code to RetrievalRouter 1 day ago
  • tokenizer.json
    11.4 MB
    xet
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    831 Bytes
    Upload tokenizer about 2 months ago