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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
    270K
    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
    90.75K
    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
    122K
    5mo
    NVIDIA

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Retrieval Augmented Generation
    327K
    1w
    NVIDIA

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    818K
    1mo
    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
    2.52K
    5d
    NVIDIA

    nemoretriever-ocr

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    113K
    7mo
    NVIDIA

    nemoretriever-ocr-v1

    Powerful OCR model for fast, accurate real-world image text extraction, layout, and structure analysis.
    Model
    Optical Character Recognition
    566K
    7mo
    NVIDIA

    nemoretriever-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    75.25K
    12mo
    NVIDIA

    nemoretriever-page-elements-v2

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    265K
    12mo
    NVIDIA

    nemoretriever-page-elements-v3

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    750K
    2mo
    NVIDIA

    nemoretriever-parse

    Cutting-edge vision-language model exceling in retrieving text and metadata from images.
    Model
    optical character recognition
    303K
    9mo
    NVIDIA

    nemoretriever-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    133K
    12mo
    NVIDIA

    nemotron-graphic-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    4.29K
    1w
    NVIDIA

    nemotron-table-structure-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    4.76K
    1w
    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
    7.11M
    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
    166K
    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
    263K
    9mo
    NVIDIA

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    3.14M
    7mo
    University at Buffalo

    cached

    Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
    Model
    nemo retriever
    735
    1y
    NVIDIA

    nv-yolox-page-elements-v1

    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Model
    Object Detection
    16.02K
    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
    190K
    8mo
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