Model¶
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class
oci.generative_ai.models.Model(**kwargs)¶ Bases:
objectYou can create a custom model by using your dataset to fine-tune an out-of-the-box text generation base model. Have your dataset ready before you create a custom model. See Training Data Requirements.
To use any of the API operations, you must be authorized in an IAM policy. If you’re not authorized, talk to an administrator who gives OCI resource access to users. See Getting Started with Policies and Getting Access to Generative AI Resources.
Attributes
CAPABILITIES_CHATA constant which can be used with the capabilities property of a Model. CAPABILITIES_FINE_TUNEA constant which can be used with the capabilities property of a Model. CAPABILITIES_TEXT_EMBEDDINGSA constant which can be used with the capabilities property of a Model. CAPABILITIES_TEXT_GENERATIONA constant which can be used with the capabilities property of a Model. CAPABILITIES_TEXT_RERANKA constant which can be used with the capabilities property of a Model. CAPABILITIES_TEXT_SUMMARIZATIONA constant which can be used with the capabilities property of a Model. LIFECYCLE_STATE_ACTIVEA constant which can be used with the lifecycle_state property of a Model. LIFECYCLE_STATE_CREATINGA constant which can be used with the lifecycle_state property of a Model. LIFECYCLE_STATE_DELETEDA constant which can be used with the lifecycle_state property of a Model. LIFECYCLE_STATE_DELETINGA constant which can be used with the lifecycle_state property of a Model. LIFECYCLE_STATE_FAILEDA constant which can be used with the lifecycle_state property of a Model. TYPE_BASEA constant which can be used with the type property of a Model. TYPE_CUSTOMA constant which can be used with the type property of a Model. base_model_idGets the base_model_id of this Model. capabilities[Required] Gets the capabilities of this Model. compartment_id[Required] Gets the compartment_id of this Model. defined_tagsGets the defined_tags of this Model. descriptionGets the description of this Model. display_nameGets the display_name of this Model. fine_tune_detailsGets the fine_tune_details of this Model. freeform_tagsGets the freeform_tags of this Model. id[Required] Gets the id of this Model. is_long_term_supportedGets the is_long_term_supported of this Model. lifecycle_detailsGets the lifecycle_details of this Model. lifecycle_state[Required] Gets the lifecycle_state of this Model. model_metricsGets the model_metrics of this Model. previous_stateGets the previous_state of this Model. system_tagsGets the system_tags of this Model. time_created[Required] Gets the time_created of this Model. time_dedicated_retiredGets the time_dedicated_retired of this Model. time_deprecatedGets the time_deprecated of this Model. time_on_demand_retiredGets the time_on_demand_retired of this Model. time_updatedGets the time_updated of this Model. type[Required] Gets the type of this Model. vendorGets the vendor of this Model. versionGets the version of this Model. Methods
__init__(**kwargs)Initializes a new Model object with values from keyword arguments. -
CAPABILITIES_CHAT= 'CHAT'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “CHAT”
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CAPABILITIES_FINE_TUNE= 'FINE_TUNE'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “FINE_TUNE”
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CAPABILITIES_TEXT_EMBEDDINGS= 'TEXT_EMBEDDINGS'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “TEXT_EMBEDDINGS”
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CAPABILITIES_TEXT_GENERATION= 'TEXT_GENERATION'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “TEXT_GENERATION”
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CAPABILITIES_TEXT_RERANK= 'TEXT_RERANK'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “TEXT_RERANK”
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CAPABILITIES_TEXT_SUMMARIZATION= 'TEXT_SUMMARIZATION'¶ A constant which can be used with the capabilities property of a Model. This constant has a value of “TEXT_SUMMARIZATION”
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LIFECYCLE_STATE_ACTIVE= 'ACTIVE'¶ A constant which can be used with the lifecycle_state property of a Model. This constant has a value of “ACTIVE”
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LIFECYCLE_STATE_CREATING= 'CREATING'¶ A constant which can be used with the lifecycle_state property of a Model. This constant has a value of “CREATING”
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LIFECYCLE_STATE_DELETED= 'DELETED'¶ A constant which can be used with the lifecycle_state property of a Model. This constant has a value of “DELETED”
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LIFECYCLE_STATE_DELETING= 'DELETING'¶ A constant which can be used with the lifecycle_state property of a Model. This constant has a value of “DELETING”
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LIFECYCLE_STATE_FAILED= 'FAILED'¶ A constant which can be used with the lifecycle_state property of a Model. This constant has a value of “FAILED”
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TYPE_BASE= 'BASE'¶ A constant which can be used with the type property of a Model. This constant has a value of “BASE”
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TYPE_CUSTOM= 'CUSTOM'¶ A constant which can be used with the type property of a Model. This constant has a value of “CUSTOM”
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__init__(**kwargs)¶ Initializes a new Model object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):
Parameters: - id (str) – The value to assign to the id property of this Model.
- description (str) – The value to assign to the description property of this Model.
- compartment_id (str) – The value to assign to the compartment_id property of this Model.
- capabilities (list[str]) – The value to assign to the capabilities property of this Model. Allowed values for items in this list are: “TEXT_GENERATION”, “TEXT_SUMMARIZATION”, “TEXT_EMBEDDINGS”, “FINE_TUNE”, “CHAT”, “TEXT_RERANK”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
- lifecycle_state (str) – The value to assign to the lifecycle_state property of this Model. Allowed values for this property are: “ACTIVE”, “CREATING”, “DELETING”, “DELETED”, “FAILED”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
- lifecycle_details (str) – The value to assign to the lifecycle_details property of this Model.
- vendor (str) – The value to assign to the vendor property of this Model.
- version (str) – The value to assign to the version property of this Model.
- display_name (str) – The value to assign to the display_name property of this Model.
- time_created (datetime) – The value to assign to the time_created property of this Model.
- time_updated (datetime) – The value to assign to the time_updated property of this Model.
- base_model_id (str) – The value to assign to the base_model_id property of this Model.
- type (str) – The value to assign to the type property of this Model. Allowed values for this property are: “BASE”, “CUSTOM”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
- fine_tune_details (oci.generative_ai.models.FineTuneDetails) – The value to assign to the fine_tune_details property of this Model.
- model_metrics (oci.generative_ai.models.ModelMetrics) – The value to assign to the model_metrics property of this Model.
- is_long_term_supported (bool) – The value to assign to the is_long_term_supported property of this Model.
- time_deprecated (datetime) – The value to assign to the time_deprecated property of this Model.
- time_on_demand_retired (datetime) – The value to assign to the time_on_demand_retired property of this Model.
- time_dedicated_retired (datetime) – The value to assign to the time_dedicated_retired property of this Model.
- previous_state (oci.generative_ai.models.Model) – The value to assign to the previous_state property of this Model.
- freeform_tags (dict(str, str)) – The value to assign to the freeform_tags property of this Model.
- defined_tags (dict(str, dict(str, object))) – The value to assign to the defined_tags property of this Model.
- system_tags (dict(str, dict(str, object))) – The value to assign to the system_tags property of this Model.
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base_model_id¶ Gets the base_model_id of this Model. The OCID of the base model that’s used for fine-tuning. For pretrained models, the value is null.
Returns: The base_model_id of this Model. Return type: str
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capabilities¶ [Required] Gets the capabilities of this Model. Describes what this model can be used for.
Allowed values for items in this list are: “TEXT_GENERATION”, “TEXT_SUMMARIZATION”, “TEXT_EMBEDDINGS”, “FINE_TUNE”, “CHAT”, “TEXT_RERANK”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
Returns: The capabilities of this Model. Return type: list[str]
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compartment_id¶ [Required] Gets the compartment_id of this Model. The compartment OCID for fine-tuned models. For pretrained models, this value is null.
Returns: The compartment_id of this Model. Return type: str
Gets the defined_tags of this Model. Defined tags for this resource. Each key is predefined and scoped to a namespace. For more information, see Resource Tags.
Example: {“Operations”: {“CostCenter”: “42”}}
Returns: The defined_tags of this Model. Return type: dict(str, dict(str, object))
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description¶ Gets the description of this Model. An optional description of the model.
Returns: The description of this Model. Return type: str
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display_name¶ Gets the display_name of this Model. A user-friendly name.
Returns: The display_name of this Model. Return type: str
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fine_tune_details¶ Gets the fine_tune_details of this Model.
Returns: The fine_tune_details of this Model. Return type: oci.generative_ai.models.FineTuneDetails
Gets the freeform_tags of this Model. Free-form tags for this resource. Each tag is a simple key-value pair with no predefined name, type, or namespace. For more information, see Resource Tags.
Example: {“Department”: “Finance”}
Returns: The freeform_tags of this Model. Return type: dict(str, str)
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id¶ [Required] Gets the id of this Model. An ID that uniquely identifies a pretrained or fine-tuned model.
Returns: The id of this Model. Return type: str
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is_long_term_supported¶ Gets the is_long_term_supported of this Model. Whether a model is supported long-term. Only applicable to base models.
Returns: The is_long_term_supported of this Model. Return type: bool
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lifecycle_details¶ Gets the lifecycle_details of this Model. A message describing the current state of the model in more detail that can provide actionable information.
Returns: The lifecycle_details of this Model. Return type: str
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lifecycle_state¶ [Required] Gets the lifecycle_state of this Model. The lifecycle state of the model.
Allowed values for this property are: “ACTIVE”, “CREATING”, “DELETING”, “DELETED”, “FAILED”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
Returns: The lifecycle_state of this Model. Return type: str
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model_metrics¶ Gets the model_metrics of this Model.
Returns: The model_metrics of this Model. Return type: oci.generative_ai.models.ModelMetrics
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previous_state¶ Gets the previous_state of this Model.
Returns: The previous_state of this Model. Return type: oci.generative_ai.models.Model
Gets the system_tags of this Model. System tags for this resource. Each key is predefined and scoped to a namespace.
Example: {“orcl-cloud”: {“free-tier-retained”: “true”}}
Returns: The system_tags of this Model. Return type: dict(str, dict(str, object))
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time_created¶ [Required] Gets the time_created of this Model. The date and time that the model was created in the format of an RFC3339 datetime string.
Returns: The time_created of this Model. Return type: datetime
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time_dedicated_retired¶ Gets the time_dedicated_retired of this Model. The timestamp indicating when the custom model and its associated foundation model will be fully retired.
Returns: The time_dedicated_retired of this Model. Return type: datetime
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time_deprecated¶ Gets the time_deprecated of this Model. Corresponds to the time when the custom model and its associated foundation model will be deprecated.
Returns: The time_deprecated of this Model. Return type: datetime
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time_on_demand_retired¶ Gets the time_on_demand_retired of this Model. The timestamp indicating when the base model will no longer be available for on-demand usage.
Returns: The time_on_demand_retired of this Model. Return type: datetime
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time_updated¶ Gets the time_updated of this Model. The date and time that the model was updated in the format of an RFC3339 datetime string.
Returns: The time_updated of this Model. Return type: datetime
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type¶ [Required] Gets the type of this Model. The model type indicating whether this is a pretrained/base model or a custom/fine-tuned model.
Allowed values for this property are: “BASE”, “CUSTOM”, ‘UNKNOWN_ENUM_VALUE’. Any unrecognized values returned by a service will be mapped to ‘UNKNOWN_ENUM_VALUE’.
Returns: The type of this Model. Return type: str
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vendor¶ Gets the vendor of this Model. The provider of the base model.
Returns: The vendor of this Model. Return type: str
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version¶ Gets the version of this Model. The version of the model.
Returns: The version of this Model. Return type: str
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