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23 results for

Filters (1)

  • Download Available
    20
  • API Endpoint
    3
  • Launchable
    0
  • Enterprise
    0
  • Retrieval Augmented Generation
    11
  • Text-to-Embedding
    7
  • Object Detection
    6
  • Optical Character Recognition
    2
  • NVIDIA
    21
  • Baidu
    1
  • University at Buffalo
    1
  • Cyborg
    0
  • NVIDIA AI
    0
  • nemo retriever
    • NVIDIA

    llama-3.2-nemoretriever-1b-vlm-embed-v1

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    269K
    8mo
    NVIDIA

    llama-3.2-nemoretriever-500m-rerank-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    1.17K
    8mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v1

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    68.84K
    7mo
    NVIDIA

    llama-3_2-nemoretriever-300m-embed-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    134K
    5mo
    NVIDIA

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    202K
    4d
    NVIDIA

    llama-nemotron-embed-vl-1b-v2

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    687K
    3w
    NVIDIA

    llama-nemotron-rerank-1b-v2

    GPU-accelerated model optimized for providing a probability score that a given passage contains the information to answer a question.
    Model
    nemo retriever
    118
    2d
    NVIDIA

    nemoretriever-ocr

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    69.1K
    7mo
    NVIDIA

    nemoretriever-ocr-v1

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    556K
    7mo
    NVIDIA

    nemoretriever-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    75.59K
    11mo
    NVIDIA

    nemoretriever-page-elements-v2

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    267K
    11mo
    NVIDIA

    nemoretriever-page-elements-v3

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    685K
    2mo
    NVIDIA

    nemoretriever-parse

    Cutting-edge vision-language model exceling in retrieving text and metadata from images.
    Model
    optical character recognition
    295K
    9mo
    NVIDIA

    nemoretriever-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    129K
    11mo
    NVIDIA

    nemotron-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    3.55K
    4d
    NVIDIA

    nemotron-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    2.77K
    4d
    NVIDIA

    llama-3.2-nv-embedqa-1b-v2

    Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
    Model
    nemo retriever
    6.67M
    7mo
    NVIDIA

    llama-3.2-nv-rerankqa-1b-v2

    Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
    Model
    nemo retriever
    151K
    7mo
    NVIDIA

    nv-embedcode-7b-v1

    The NV-EmbedCode model is a 7B Mistral-based embedding model optimized for code retrieval, supporting text, code, and hybrid queries.
    Model
    nemo retriever
    253K
    9mo
    NVIDIA

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    3.12M
    7mo
    University at Buffalo

    cached

    Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
    Model
    nemo retriever
    727
    1y
    NVIDIA

    nv-yolox-page-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    15.86K
    8mo
    Baidu

    paddleocr

    Model for table extraction that receives an image as input, runs OCR on the image, and returns the text within the image and its bounding boxes.
    Model
    Optical Character Recognition
    188K
    8mo
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