The optional timestamp (in milliseconds) of the start of the chunk of data corresponding to these results.This is only used for embedding extraction on time series (e.g. audio embedding). In these use cases, the amount of data to process might exceed the maximum size that the model can process: to solve this, the input data is split into multiple chunks starting at different timestamps.
ImageEmbedderResult.embeddings
The embedding results for each model head, i.e. one for each output tensor.
Signature:
embeddings:Embedding[];
ImageEmbedderResult.timestampMs
The optional timestamp (in milliseconds) of the start of the chunk of data corresponding to these results.
This is only used for embedding extraction on time series (e.g. audio embedding). In these use cases, the amount of data to process might exceed the maximum size that the model can process: to solve this, the input data is split into multiple chunks starting at different timestamps.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-07 UTC."],[],[],null,["# ImageEmbedderResult interface\n\n\u003cbr /\u003e\n\nEmbedding results for a given embedder model.\n\n**Signature:** \n\n export declare interface ImageEmbedderResult \n\nProperties\n----------\n\n| Property | Type | Description |\n|----------------------------------------------------------------------------------|---------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [embeddings](./tasks-vision.imageembedderresult#imageembedderresultembeddings) | [Embedding](./tasks-vision.embedding#embedding_interface)\\[\\] | The embedding results for each model head, i.e. one for each output tensor. |\n| [timestampMs](./tasks-vision.imageembedderresult#imageembedderresulttimestampms) | number | The optional timestamp (in milliseconds) of the start of the chunk of data corresponding to these results.This is only used for embedding extraction on time series (e.g. audio embedding). In these use cases, the amount of data to process might exceed the maximum size that the model can process: to solve this, the input data is split into multiple chunks starting at different timestamps. |\n\nImageEmbedderResult.embeddings\n------------------------------\n\nThe embedding results for each model head, i.e. one for each output tensor.\n\n**Signature:** \n\n embeddings: Embedding[];\n\nImageEmbedderResult.timestampMs\n-------------------------------\n\nThe optional timestamp (in milliseconds) of the start of the chunk of data corresponding to these results.\n\nThis is only used for embedding extraction on time series (e.g. audio embedding). In these use cases, the amount of data to process might exceed the maximum size that the model can process: to solve this, the input data is split into multiple chunks starting at different timestamps.\n\n**Signature:** \n\n timestampMs?: number;"]]
