Safetensors
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  #### 2. Access to model nvidia/MMEmbed is restricted. You must be authenticated to access it
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  Use your huggingface access [token](https://huggingface.co/settings/tokens) to execute *"huggingface-cli login"*.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #### 2. Access to model nvidia/MMEmbed is restricted. You must be authenticated to access it
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  Use your huggingface access [token](https://huggingface.co/settings/tokens) to execute *"huggingface-cli login"*.
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+ ## Model Architectures
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+ **Network Architecture:** Decoder-Only Transformer
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+ ### Input
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+ **Input Type(s):** Text, Image <br>
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+ **Input Format(s):** String, [Pillow Library-Supported Formats](https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html) <br>
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+ **Input Dimensions:** One-Dimensional (1D), Two Dimensional (2D) <br>
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+ **Other Properties Related to Input:** Maximum Token Length = 32K Tokens <br>
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+ ### Output
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+ **Output Type(s):** Embeddings <br>
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+ **Output Format:** numeric <br>
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+ **Model Output:** 1D <br>
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+ **Other Properties Related to Output:** None <br>
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+ ## Software Integration
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+ **Runtime Engine(s)**
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+ * PyTorch <br>
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+ **Supported Hardware Microarchitecture Compatibility:** <br>
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+ * NVIDIA Hopper <br>
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+ **[Preferred/Supported] Operating System(s):** <br>
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+ * Linux <br>
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+ ## Inference
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+ **Engine:** PyTorch <br>
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+ **Test Hardware:** <br>
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+ * H100 <br>
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+ ## Ethical Considerations
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+ NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
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+ Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
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