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Copy file name to clipboardExpand all lines: docs/colab_notebooks/4-providing-images-as-context.ipynb
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"```\n",
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"URL-backed media can use `data_type=dd.ModalityDataType.URL`, subject to the provider's URL support and file-size limits. Local audio/video paths in URL mode require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access."
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"URL-backed media can use `data_type=dd.ModalityDataType.URL`, subject to the provider's URL support and file-size limits. Local audio/video paths require explicit URL mode and require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access."
# URL-backed media can use `data_type=dd.ModalityDataType.URL`, subject to the provider's URL support and file-size limits. Local audio/video paths in URL mode require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
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# URL-backed media can use `data_type=dd.ModalityDataType.URL`, subject to the provider's URL support and file-size limits. Local audio/video paths require explicit URL mode and require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
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# %%
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# Add a column to generate detailed image descriptions
Copy file name to clipboardExpand all lines: fern/versions/latest/pages/concepts/models/default-model-settings.mdx
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|`openrouter-embedding`|`openai/text-embedding-3-large`| Text embeddings |`encoding_format="float"`|
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<Notetitle="Modality support depends on the model">
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The `multi_modal_context` field can include image, audio, and video contexts, but each model/provider combination has its own accepted input formats, media-size limits, and modality mix. Use an image-capable model for image-only workflows, and use an omni or otherwise multimodal model before sending audio or video context. Local audio/video paths in URL mode require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
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The `multi_modal_context` field can include image, audio, and video contexts, but each model/provider combination has its own accepted input formats, media-size limits, and modality mix. Use an image-capable model for image-only workflows, and use an omni or otherwise multimodal model before sending audio or video context. Local audio/video paths require explicit URL mode (`data_type=url`) and require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
Copy file name to clipboardExpand all lines: fern/versions/latest/pages/concepts/models/model-configs.mdx
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A `ModelConfig` specifies which LLM model to use and how it should behave during generation. When you create column configurations (like `LLMText`, `LLMCode`, or `LLMStructured`), you reference a model by its alias. Data Designer uses the model configuration to determine which model to call and with what parameters.
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When a column includes `multi_modal_context`, the `ModelConfig` alias must point to a model that supports the media types you send. Data Designer can serialize image, audio, and video context blocks, but model capability is still provider-specific. Local audio/video paths in URL mode require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
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When a column includes `multi_modal_context`, the `ModelConfig` alias must point to a model that supports the media types you send. Data Designer can serialize image, audio, and video context blocks, but model capability is still provider-specific. Local audio/video paths require explicit URL mode (`data_type=url`) and require the model endpoint to have filesystem access to the same paths, typically a colocated vLLM server configured for local media access.
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