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feat(documentai): update the api
#### documentai:v1 The following keys were added: - schemas.GoogleCloudDocumentaiV1ProcessorVersion.properties.genAiModelInfo (Total Keys: 2) - schemas.GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfo (Total Keys: 13) #### documentai:v1beta3 The following keys were added: - schemas.GoogleCloudDocumentaiV1beta3ProcessorVersion.properties.genAiModelInfo (Total Keys: 2) - schemas.GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfo (Total Keys: 13)
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‎docs/dyn/documentai_v1.projects.locations.processors.processorVersions.html

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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.
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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.
@@ -2691,6 +2711,16 @@ <h3>Method Details</h3>
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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.

‎docs/dyn/documentai_v1beta3.projects.locations.processors.processorVersions.html

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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.
@@ -631,6 +641,16 @@ <h3>Method Details</h3>
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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.
@@ -3762,6 +3782,16 @@ <h3>Method Details</h3>
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&quot;skipNamingValidation&quot;: True or False, # If set, we will skip the naming format validation in the schema. So the string values in `DocumentSchema.EntityType.name` and `DocumentSchema.EntityType.Property.name` will not be checked.
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},
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},
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&quot;genAiModelInfo&quot;: { # Information about Generative AI model-based processor versions. # Output only. Information about Generative AI model-based processor versions.
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&quot;customGenAiModelInfo&quot;: { # 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. # Information for a custom Generative AI model created by the user.
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&quot;baseProcessorVersionId&quot;: &quot;A String&quot;, # The base processor version ID for the custom model.
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&quot;customModelType&quot;: &quot;A String&quot;, # The type of custom model created by the user.
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},
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&quot;foundationGenAiModelInfo&quot;: { # Information for a pretrained Google-managed foundation model. # Information for a pretrained Google-managed foundation model.
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&quot;finetuningAllowed&quot;: True or False, # Whether finetuning is allowed for this base processor version.
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&quot;minTrainLabeledDocuments&quot;: 42, # The minimum number of labeled documents in the training dataset required for finetuning.
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},
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},
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&quot;googleManaged&quot;: True or False, # Output only. Denotes that this `ProcessorVersion` is managed by Google.
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&quot;kmsKeyName&quot;: &quot;A String&quot;, # The KMS key name used for encryption.
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&quot;kmsKeyVersionName&quot;: &quot;A String&quot;, # The KMS key version with which data is encrypted.

‎googleapiclient/discovery_cache/documents/documentai.v1.json

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}
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}
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},
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"revision": "20240703",
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"revision": "20240716",
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"rootUrl": "https://documentai.googleapis.com/",
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"schemas": {
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"GoogleCloudDocumentaiUiv1beta3AutoLabelDocumentsMetadata": {
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"$ref": "GoogleCloudDocumentaiV1DocumentSchema",
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"description": "The schema of the processor version. Describes the output."
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},
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"genAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfo",
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"description": "Output only. Information about Generative AI model-based processor versions.",
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"readOnly": true
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},
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"googleManaged": {
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"description": "Output only. Denotes that this `ProcessorVersion` is managed by Google.",
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"readOnly": true,
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfo": {
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"description": "Information about Generative AI model-based processor versions.",
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"id": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfo",
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"properties": {
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"customGenAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoCustomGenAiModelInfo",
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"description": "Information for a custom Generative AI model created by the user."
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},
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"foundationGenAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo",
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"description": "Information for a pretrained Google-managed foundation model."
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoCustomGenAiModelInfo": {
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"description": "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.",
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"id": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoCustomGenAiModelInfo",
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"properties": {
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"baseProcessorVersionId": {
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"description": "The base processor version ID for the custom model.",
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"type": "string"
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},
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"customModelType": {
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"description": "The type of custom model created by the user.",
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"enum": [
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"CUSTOM_MODEL_TYPE_UNSPECIFIED",
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"VERSIONED_FOUNDATION",
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"FINE_TUNED"
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],
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"enumDescriptions": [
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"The model type is unspecified.",
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"The model is a versioned foundation model.",
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"The model is a finetuned foundation model."
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],
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"type": "string"
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo": {
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"description": "Information for a pretrained Google-managed foundation model.",
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"id": "GoogleCloudDocumentaiV1ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo",
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"properties": {
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"finetuningAllowed": {
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"description": "Whether finetuning is allowed for this base processor version.",
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"type": "boolean"
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},
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"minTrainLabeledDocuments": {
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"description": "The minimum number of labeled documents in the training dataset required for finetuning.",
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"format": "int32",
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"type": "integer"
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1RawDocument": {
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"description": "Payload message of raw document content (bytes).",
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"id": "GoogleCloudDocumentaiV1RawDocument",

‎googleapiclient/discovery_cache/documents/documentai.v1beta3.json

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}
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}
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},
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"revision": "20240703",
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"revision": "20240716",
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"rootUrl": "https://documentai.googleapis.com/",
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"schemas": {
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"GoogleCloudDocumentaiUiv1beta3AutoLabelDocumentsMetadata": {
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"$ref": "GoogleCloudDocumentaiV1beta3DocumentSchema",
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"description": "The schema of the processor version. Describes the output."
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},
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"genAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfo",
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"description": "Output only. Information about Generative AI model-based processor versions.",
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"readOnly": true
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},
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"googleManaged": {
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"description": "Output only. Denotes that this `ProcessorVersion` is managed by Google.",
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"readOnly": true,
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfo": {
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"description": "Information about Generative AI model-based processor versions.",
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"id": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfo",
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"properties": {
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"customGenAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoCustomGenAiModelInfo",
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"description": "Information for a custom Generative AI model created by the user."
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},
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"foundationGenAiModelInfo": {
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"$ref": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo",
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"description": "Information for a pretrained Google-managed foundation model."
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoCustomGenAiModelInfo": {
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"description": "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.",
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"id": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoCustomGenAiModelInfo",
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"properties": {
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"baseProcessorVersionId": {
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"description": "The base processor version ID for the custom model.",
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"type": "string"
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},
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"customModelType": {
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"description": "The type of custom model created by the user.",
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"enum": [
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"CUSTOM_MODEL_TYPE_UNSPECIFIED",
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"VERSIONED_FOUNDATION",
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"FINE_TUNED"
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],
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"enumDescriptions": [
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"The model type is unspecified.",
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"The model is a versioned foundation model.",
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"The model is a finetuned foundation model."
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],
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"type": "string"
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo": {
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"description": "Information for a pretrained Google-managed foundation model.",
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"id": "GoogleCloudDocumentaiV1beta3ProcessorVersionGenAiModelInfoFoundationGenAiModelInfo",
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"properties": {
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"finetuningAllowed": {
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"description": "Whether finetuning is allowed for this base processor version.",
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"type": "boolean"
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},
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"minTrainLabeledDocuments": {
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"description": "The minimum number of labeled documents in the training dataset required for finetuning.",
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"format": "int32",
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"type": "integer"
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}
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},
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"type": "object"
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},
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"GoogleCloudDocumentaiV1beta3PropertyMetadata": {
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"description": "Metadata about a property.",
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"id": "GoogleCloudDocumentaiV1beta3PropertyMetadata",

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