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ImageEmbeddingsOptions Class

Reference

Definition

Namespace:: Azure.AI.Inference

Assembly:: Azure.AI.Inference.dll

Package:: Azure.AI.Inference v1.0.0-beta.3

Source:: ImageEmbeddingsOptions.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

The configuration information for an image embeddings request.

public class ImageEmbeddingsOptions : System.ClientModel.Primitives.IJsonModel<Azure.AI.Inference.ImageEmbeddingsOptions>, System.ClientModel.Primitives.IPersistableModel<Azure.AI.Inference.ImageEmbeddingsOptions>

type ImageEmbeddingsOptions = class
    interface IJsonModel<ImageEmbeddingsOptions>
    interface IPersistableModel<ImageEmbeddingsOptions>

Public Class ImageEmbeddingsOptions
Implements IJsonModel(Of ImageEmbeddingsOptions), IPersistableModel(Of ImageEmbeddingsOptions)

Inheritance: Object
ImageEmbeddingsOptions

Implements: IJsonModel<ImageEmbeddingsOptions> IPersistableModel<ImageEmbeddingsOptions> IPersistableModel<T>

Constructors

ImageEmbeddingsOptions(IEnumerable<ImageEmbeddingInput>)

Initializes a new instance of ImageEmbeddingsOptions.

Properties

AdditionalProperties	Additional Properties To assign an object to the value of this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). Examples: BinaryData.FromObjectAsJson("foo"): Creates a payload of "foo". BinaryData.FromString("\"foo\""): Creates a payload of "foo". BinaryData.FromObjectAsJson(new { key = "value" }): Creates a payload of { "key": "value" }. BinaryData.FromString("{\"key\": \"value\"}"): Creates a payload of { "key": "value" }.
Dimensions	Optional. The number of dimensions the resulting output embeddings should have. Passing null causes the model to use its default value. Returns a 422 error if the model doesn't support the value or parameter.
EncodingFormat	Optional. The number of dimensions the resulting output embeddings should have. Passing null causes the model to use its default value. Returns a 422 error if the model doesn't support the value or parameter.
Input	Input image to embed. To embed multiple inputs in a single request, pass an array. The input must not exceed the max input tokens for the model.
InputType	Optional. The type of the input. Returns a 422 error if the model doesn't support the value or parameter.
Model	ID of the specific AI model to use, if more than one model is available on the endpoint.

Methods

JsonModelWriteCore(Utf8JsonWriter, ModelReaderWriterOptions)

Explicit Interface Implementations

IJsonModel<ImageEmbeddingsOptions>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<ImageEmbeddingsOptions>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IPersistableModel<ImageEmbeddingsOptions>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<ImageEmbeddingsOptions>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<ImageEmbeddingsOptions>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.

Applies to

通过