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nvidia
/
NV-Retriever-v1

Feature Extraction
Transformers
Safetensors
English
nvretriever
mteb
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use nvidia/NV-Retriever-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nvidia/NV-Retriever-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="nvidia/NV-Retriever-v1", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nvidia/NV-Retriever-v1", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • LICENSE_NV_RETRIEVER.md
    4.02 kB
    Create LICENSE_NV_RETRIEVER.md almost 2 years ago
  • README.md
    245 kB
    Update README.md over 1 year ago
  • config.json
    824 Bytes
    model weights almost 2 years ago
  • configuration_nvretriever.py
    523 Bytes
    model weights almost 2 years ago
  • model-00001-of-00003.safetensors
    4.94 GB
    xet
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  • model-00002-of-00003.safetensors
    5 GB
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  • model-00003-of-00003.safetensors
    4.28 GB
    xet
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  • model.safetensors.index.json
    23.9 kB
    model weights almost 2 years ago
  • modeling_nvretriever.py
    9.95 kB
    model weights almost 2 years ago
  • special_tokens_map.json
    551 Bytes
    model weights almost 2 years ago
  • tokenizer.json
    1.8 MB
    model weights almost 2 years ago
  • tokenizer.model
    493 kB
    xet
    model weights almost 2 years ago
  • tokenizer_config.json
    941 Bytes
    model weights almost 2 years ago