Class: Google::Cloud::DocumentAI::V1::ProcessorVersion::GenAiModelInfo

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/documentai/v1/processor.rb

Overview

Information about Generative AI model-based processor versions.

Defined Under Namespace

Classes: CustomGenAiModelInfo, FoundationGenAiModelInfo

Instance Attribute Summary collapse

Instance Attribute Details

#custom_gen_ai_model_info ⇒ ::Google::Cloud::DocumentAI::V1::ProcessorVersion::GenAiModelInfo::CustomGenAiModelInfo

Returns Information for a custom Generative AI model created by the user.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/processor.rb', line 96

class GenAiModelInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Information for a pretrained Google-managed foundation model.
  # @!attribute [rw] finetuning_allowed
  #   @return [::Boolean]
  #     Whether finetuning is allowed for this base processor version.
  # @!attribute [rw] min_train_labeled_documents
  #   @return [::Integer]
  #     The minimum number of labeled documents in the training dataset
  #     required for finetuning.
  class FoundationGenAiModelInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Information for a custom Generative AI model created by the user. These
  # are created with `Create New Version` in either the `Call foundation
  # model` or `Fine tuning` tabs.
  # @!attribute [rw] custom_model_type
  #   @return [::Google::Cloud::DocumentAI::V1::ProcessorVersion::GenAiModelInfo::CustomGenAiModelInfo::CustomModelType]
  #     The type of custom model created by the user.
  # @!attribute [rw] base_processor_version_id
  #   @return [::String]
  #     The base processor version ID for the custom model.
  class CustomGenAiModelInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The type of custom model created by the user.
    module CustomModelType
      # The model type is unspecified.
      CUSTOM_MODEL_TYPE_UNSPECIFIED = 0

      # The model is a versioned foundation model.
      VERSIONED_FOUNDATION = 1

      # The model is a finetuned foundation model.
      FINE_TUNED = 2
    end
  end
end

#foundation_gen_ai_model_info ⇒ ::Google::Cloud::DocumentAI::V1::ProcessorVersion::GenAiModelInfo::FoundationGenAiModelInfo

Returns Information for a pretrained Google-managed foundation model.

Returns:



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# File 'proto_docs/google/cloud/documentai/v1/processor.rb', line 96

class GenAiModelInfo
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # Information for a pretrained Google-managed foundation model.
  # @!attribute [rw] finetuning_allowed
  #   @return [::Boolean]
  #     Whether finetuning is allowed for this base processor version.
  # @!attribute [rw] min_train_labeled_documents
  #   @return [::Integer]
  #     The minimum number of labeled documents in the training dataset
  #     required for finetuning.
  class FoundationGenAiModelInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods
  end

  # Information for a custom Generative AI model created by the user. These
  # are created with `Create New Version` in either the `Call foundation
  # model` or `Fine tuning` tabs.
  # @!attribute [rw] custom_model_type
  #   @return [::Google::Cloud::DocumentAI::V1::ProcessorVersion::GenAiModelInfo::CustomGenAiModelInfo::CustomModelType]
  #     The type of custom model created by the user.
  # @!attribute [rw] base_processor_version_id
  #   @return [::String]
  #     The base processor version ID for the custom model.
  class CustomGenAiModelInfo
    include ::Google::Protobuf::MessageExts
    extend ::Google::Protobuf::MessageExts::ClassMethods

    # The type of custom model created by the user.
    module CustomModelType
      # The model type is unspecified.
      CUSTOM_MODEL_TYPE_UNSPECIFIED = 0

      # The model is a versioned foundation model.
      VERSIONED_FOUNDATION = 1

      # The model is a finetuned foundation model.
      FINE_TUNED = 2
    end
  end
end