Class LanguageModel
- java.lang.Object
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- software.amazon.awssdk.services.transcribe.model.LanguageModel
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- All Implemented Interfaces:
Serializable,SdkPojo,ToCopyableBuilder<LanguageModel.Builder,LanguageModel>
@Generated("software.amazon.awssdk:codegen") public final class LanguageModel extends Object implements SdkPojo, Serializable, ToCopyableBuilder<LanguageModel.Builder,LanguageModel>
Provides information about a custom language model, including:
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The base model name
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When the model was created
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The location of the files used to train the model
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When the model was last modified
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The name you chose for the model
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The model's language
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The model's processing state
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Any available upgrades for the base model
- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static interfaceLanguageModel.Builder
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description BaseModelNamebaseModelName()The Amazon Transcribe standard language model, or base model, used to create your custom language model.StringbaseModelNameAsString()The Amazon Transcribe standard language model, or base model, used to create your custom language model.static LanguageModel.Builderbuilder()InstantcreateTime()The date and time the specified custom language model was created.booleanequals(Object obj)booleanequalsBySdkFields(Object obj)StringfailureReason()IfModelStatusisFAILED,FailureReasoncontains information about why the custom language model request failed.<T> Optional<T>getValueForField(String fieldName, Class<T> clazz)inthashCode()InputDataConfiginputDataConfig()The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.CLMLanguageCodelanguageCode()The language code used to create your custom language model.StringlanguageCodeAsString()The language code used to create your custom language model.InstantlastModifiedTime()The date and time the specified custom language model was last modified.StringmodelName()A unique name, chosen by you, for your custom language model.ModelStatusmodelStatus()The status of the specified custom language model.StringmodelStatusAsString()The status of the specified custom language model.List<SdkField<?>>sdkFields()static Class<? extends LanguageModel.Builder>serializableBuilderClass()LanguageModel.BuildertoBuilder()StringtoString()Returns a string representation of this object.BooleanupgradeAvailability()Shows if a more current base model is available for use with the specified custom language model.-
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Detail
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modelName
public final String modelName()
A unique name, chosen by you, for your custom language model.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
- Returns:
- A unique name, chosen by you, for your custom language model.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
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createTime
public final Instant createTime()
The date and time the specified custom language model was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,2022-05-04T12:32:58.761000-07:00represents 12:32 PM UTC-7 on May 4, 2022.- Returns:
- The date and time the specified custom language model was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,2022-05-04T12:32:58.761000-07:00represents 12:32 PM UTC-7 on May 4, 2022.
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lastModifiedTime
public final Instant lastModifiedTime()
The date and time the specified custom language model was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,2022-05-04T12:32:58.761000-07:00represents 12:32 PM UTC-7 on May 4, 2022.- Returns:
- The date and time the specified custom language model was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example,2022-05-04T12:32:58.761000-07:00represents 12:32 PM UTC-7 on May 4, 2022.
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languageCode
public final CLMLanguageCode languageCode()
The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
en-US) is the only language supported with Amazon Transcribe Medical.If the service returns an enum value that is not available in the current SDK version,
languageCodewill returnCLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromlanguageCodeAsString().- Returns:
- The language code used to create your custom language model. Each custom language model must contain
terms in only one language, and the language you select for your custom language model must match the
language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
en-US) is the only language supported with Amazon Transcribe Medical. - See Also:
CLMLanguageCode
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languageCodeAsString
public final String languageCodeAsString()
The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
en-US) is the only language supported with Amazon Transcribe Medical.If the service returns an enum value that is not available in the current SDK version,
languageCodewill returnCLMLanguageCode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available fromlanguageCodeAsString().- Returns:
- The language code used to create your custom language model. Each custom language model must contain
terms in only one language, and the language you select for your custom language model must match the
language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
en-US) is the only language supported with Amazon Transcribe Medical. - See Also:
CLMLanguageCode
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baseModelName
public final BaseModelName baseModelName()
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
If the service returns an enum value that is not available in the current SDK version,
baseModelNamewill returnBaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frombaseModelNameAsString().- Returns:
- The Amazon Transcribe standard language model, or base model, used to create your custom language model.
- See Also:
BaseModelName
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baseModelNameAsString
public final String baseModelNameAsString()
The Amazon Transcribe standard language model, or base model, used to create your custom language model.
If the service returns an enum value that is not available in the current SDK version,
baseModelNamewill returnBaseModelName.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frombaseModelNameAsString().- Returns:
- The Amazon Transcribe standard language model, or base model, used to create your custom language model.
- See Also:
BaseModelName
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modelStatus
public final ModelStatus modelStatus()
The status of the specified custom language model. When the status displays as
COMPLETEDthe model is ready for use.If the service returns an enum value that is not available in the current SDK version,
modelStatuswill returnModelStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frommodelStatusAsString().- Returns:
- The status of the specified custom language model. When the status displays as
COMPLETEDthe model is ready for use. - See Also:
ModelStatus
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modelStatusAsString
public final String modelStatusAsString()
The status of the specified custom language model. When the status displays as
COMPLETEDthe model is ready for use.If the service returns an enum value that is not available in the current SDK version,
modelStatuswill returnModelStatus.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available frommodelStatusAsString().- Returns:
- The status of the specified custom language model. When the status displays as
COMPLETEDthe model is ready for use. - See Also:
ModelStatus
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upgradeAvailability
public final Boolean upgradeAvailability()
Shows if a more current base model is available for use with the specified custom language model.
If
false, your custom language model is using the most up-to-date base model.If
true, there is a newer base model available than the one your language model is using.Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
- Returns:
- Shows if a more current base model is available for use with the specified custom language model.
If
false, your custom language model is using the most up-to-date base model.If
true, there is a newer base model available than the one your language model is using.Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
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failureReason
public final String failureReason()
If
ModelStatusisFAILED,FailureReasoncontains information about why the custom language model request failed. See also: Common Errors.- Returns:
- If
ModelStatusisFAILED,FailureReasoncontains information about why the custom language model request failed. See also: Common Errors.
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inputDataConfig
public final InputDataConfig inputDataConfig()
The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
- Returns:
- The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
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toBuilder
public LanguageModel.Builder toBuilder()
- Specified by:
toBuilderin interfaceToCopyableBuilder<LanguageModel.Builder,LanguageModel>
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builder
public static LanguageModel.Builder builder()
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serializableBuilderClass
public static Class<? extends LanguageModel.Builder> serializableBuilderClass()
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equalsBySdkFields
public final boolean equalsBySdkFields(Object obj)
- Specified by:
equalsBySdkFieldsin interfaceSdkPojo
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toString
public final String toString()
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
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