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Hcompany
/
NeoMME-260M-Retriever

Visual Document Retrieval
Transformers
Safetensors
multilingual
neomme
multimodal
document-retrieval
late-interaction
dense-retrieval
Model card Files Files and versions
xet
Community

Instructions to use Hcompany/NeoMME-260M-Retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hcompany/NeoMME-260M-Retriever with Transformers:

    # Load model directly
    from transformers import AutoProcessor, NeoMMEForRetrieval
    
    processor = AutoProcessor.from_pretrained("Hcompany/NeoMME-260M-Retriever")
    model = NeoMMEForRetrieval.from_pretrained("Hcompany/NeoMME-260M-Retriever", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NeoMME-260M-Retriever
536 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
tonywu71's picture
tonywu71
docs: link NeoMME technical report
4810831 15 days ago
  • .gitattributes
    1.65 kB
    feat: upload neomme files 26 days ago
  • LICENSE
    11.4 kB
    feat: upload neomme files 26 days ago
  • README.md
    7.89 kB
    docs: link NeoMME technical report 15 days ago
  • chat_template.jinja
    3.49 kB
    feat: upload neomme files 26 days ago
  • config.json
    1.98 kB
    feat: upload neomme files 26 days ago
  • model.safetensors
    526 MB
    xet
    feat: upload neomme files 26 days ago
  • processor_config.json
    446 Bytes
    feat: upload neomme files 26 days ago
  • tokenizer.json
    10.2 MB
    feat: upload neomme files 26 days ago
  • tokenizer_config.json
    515 Bytes
    feat: upload neomme files 26 days ago