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13 results for

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  • Free Endpoint
    5
  • Partner Endpoint
    2
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    8
  • Retrieval Augmented Generation
    10
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    9
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    1
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    1
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    • NVIDIA
    Downloadable

    nvclip

    NV-CLIP is a multimodal embeddings model for image and text.
    Model
    Computer vision
    23.65K
    9mo
    BAAI
    Downloadable

    bge-m3

    Embedding model for text retrieval tasks, excelling in dense, multi-vector, and sparse retrieval.
    Model
    Embeddings
    1.68M
    11mo
    Meta
    Free Endpoint

    esm2-650m

    Generates embeddings of proteins from their amino acid sequences.
    Model
    nim
    192K
    1y
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    271K
    8mo
    NVIDIA
    Downloadable

    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
    7.04M
    7mo
    NVIDIA
    Free Endpoint

    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
    284K
    9mo
    NVIDIA
    Free Endpoint

    nv-embed-v1

    Generates high-quality numerical embeddings from text inputs.
    Model
    Non-Commercial Use Only
    1.59M
    7mo
    NVIDIA
    Downloadable

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

    Multimodal question-answer retrieval representing user queries as text and documents as images.
    Model
    nemo retriever
    883K
    1mo
    NVIDIA
    Downloadable

    nv-embedqa-e5-v5

    English text embedding model for question-answering retrieval.
    Model
    Embedding
    3.06M
    7mo
    NVIDIA
    Free Endpoint

    nv-dinov2

    NV-DINOv2 is a visual foundation model that generates vector embeddings for the input image.
    Model
    computer vision
    1.18M
    11mo
    NVIDIA
    Free Endpoint

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    91.16K
    7mo
    NVIDIA
    Downloadable

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

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    119K
    5mo
    NVIDIA
    Downloadable

    llama-nemotron-embed-1b-v2

    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Model
    Text-to-Embedding
    366K
    1w
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