EmbedContentRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)Request message for PredictionService.EmbedContent.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
|---|---|
| Name | Description |
model |
str
Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*
This field is a member of oneof_ _model.
|
content |
google.cloud.aiplatform_v1beta1.types.Content
Required. Input content to be embedded. This field is a member of oneof_ _content.
|
title |
str
Optional. Deprecated: Please use EmbedContentConfig.title instead. The title for the text. This field is a member of oneof_ _title.
|
task_type |
google.cloud.aiplatform_v1beta1.types.EmbedContentRequest.EmbeddingTaskType
Optional. Deprecated: Please use EmbedContentConfig.task_type instead. The task type of the embedding. This field is a member of oneof_ _task_type.
|
output_dimensionality |
int
Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. This field is a member of oneof_ _output_dimensionality.
|
auto_truncate |
bool
Optional. Deprecated: Please use EmbedContentConfig.auto_truncate instead. Whether to silently truncate the input content if it's longer than the maximum sequence length. This field is a member of oneof_ _auto_truncate.
|
embed_content_config |
google.cloud.aiplatform_v1beta1.types.EmbedContentRequest.EmbedContentConfig
Optional. Configuration for the EmbedContent request. This field is a member of oneof_ _embed_content_config.
|
Classes
EmbedContentConfig
EmbedContentConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Configurations for the EmbedContent API.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
EmbeddingTaskType
EmbeddingTaskType(value)Represents a downstream task the embeddings will be used for.
Methods
EmbedContentRequest
EmbedContentRequest(mapping=None, *, ignore_unknown_fields=False, **kwargs)Request message for PredictionService.EmbedContent.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields