o
com.johnsnowlabs.nlp.annotators.cv
CLIPForZeroShotClassification
Companion class CLIPForZeroShotClassification
object CLIPForZeroShotClassification extends ReadablePretrainedCLIPForZeroShotClassificationModel with ReadCLIPForZeroShotClassificationModel with Serializable
This is the companion object of CLIPForZeroShotClassification. Please refer to that class for the documentation.
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- CLIPForZeroShotClassification
- Serializable
- Serializable
- ReadCLIPForZeroShotClassificationModel
- ReadOpenvinoModel
- ReadOnnxModel
- ReadTensorflowModel
- ReadablePretrainedCLIPForZeroShotClassificationModel
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
addReader(reader: (CLIPForZeroShotClassification, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
val
defaultLang: String
- Definition Classes
- HasPretrained
-
lazy val
defaultLoc: String
- Definition Classes
- HasPretrained
-
val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedCLIPForZeroShotClassificationModel → HasPretrained
-
val
defaultPreferredEngine: String
- Definition Classes
- HasPretrained
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
load(path: String): CLIPForZeroShotClassification
- Definition Classes
- MLReadable
- Annotations
- @Since( "1.6.0" )
-
def
loadSavedModel(modelPath: String, spark: SparkSession): CLIPForZeroShotClassification
Loads a local SavedModel file of the model.
Loads a local SavedModel file of the model. For CLIP, requires also image preprocessor config and vocab file.
- modelPath
Path of the Model
- spark
Spark Instance
- Definition Classes
- ReadCLIPForZeroShotClassificationModel
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
onRead(instance: CLIPForZeroShotClassification, path: String, session: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
-
val
onnxFile: String
- Definition Classes
- ReadCLIPForZeroShotClassificationModel → ReadOnnxModel
-
val
openvinoFile: String
- Definition Classes
- ReadCLIPForZeroShotClassificationModel → ReadOpenvinoModel
-
def
pretrained(name: String, lang: String, remoteLoc: String): CLIPForZeroShotClassification
- Definition Classes
- ReadablePretrainedCLIPForZeroShotClassificationModel → HasPretrained
-
def
pretrained(name: String, lang: String): CLIPForZeroShotClassification
- Definition Classes
- ReadablePretrainedCLIPForZeroShotClassificationModel → HasPretrained
-
def
pretrained(name: String): CLIPForZeroShotClassification
- Definition Classes
- ReadablePretrainedCLIPForZeroShotClassificationModel → HasPretrained
-
def
pretrained(): CLIPForZeroShotClassification
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedCLIPForZeroShotClassificationModel → HasPretrained
-
def
pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): CLIPForZeroShotClassification
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- HasPretrained
-
def
pretrainedEngine(name: String, lang: String, preferredEngine: String): CLIPForZeroShotClassification
- Definition Classes
- HasPretrained
-
def
pretrainedEngine(name: String, preferredEngine: String): CLIPForZeroShotClassification
- Definition Classes
- HasPretrained
-
def
read: MLReader[CLIPForZeroShotClassification]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
-
def
readModel(instance: CLIPForZeroShotClassification, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadCLIPForZeroShotClassificationModel
-
def
readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None, dataFilePostfix: Option[String] = None): OnnxWrapper
- Definition Classes
- ReadOnnxModel
-
def
readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]
- Definition Classes
- ReadOnnxModel
-
def
readOpenvinoModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true): OpenvinoWrapper
- Definition Classes
- ReadOpenvinoModel
-
def
readOpenvinoModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true): Map[String, OpenvinoWrapper]
- Definition Classes
- ReadOpenvinoModel
-
def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
val
readers: ArrayBuffer[(CLIPForZeroShotClassification, String, SparkSession) ⇒ Unit]
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
-
val
skipPreferredEngine: Boolean
- Definition Classes
- HasPretrained
-
val
suffix: String
- Definition Classes
- ReadCLIPForZeroShotClassificationModel
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
tfFile: String
- Definition Classes
- ReadCLIPForZeroShotClassificationModel → ReadTensorflowModel
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()