Uses of Class
com.google.genai.proto.SentencepieceModel.ModelProto.Builder
Packages that use SentencepieceModel.ModelProto.Builder
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Uses of SentencepieceModel.ModelProto.Builder in com.google.genai.proto
Methods in com.google.genai.proto that return SentencepieceModel.ModelProto.BuilderModifier and TypeMethodDescriptionSentencepieceModel.ModelProto.Builder.addAllPieces(Iterable<? extends SentencepieceModel.ModelProto.SentencePiece> values) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.addExtension(com.google.protobuf.GeneratedMessage.GeneratedExtension<SentencepieceModel.ModelProto, List<Type>> extension, Type value) SentencepieceModel.ModelProto.Builder.addPieces(int index, SentencepieceModel.ModelProto.SentencePiece value) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.addPieces(int index, SentencepieceModel.ModelProto.SentencePiece.Builder builderForValue) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.addPieces(SentencepieceModel.ModelProto.SentencePiece value) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.addPieces(SentencepieceModel.ModelProto.SentencePiece.Builder builderForValue) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) SentencepieceModel.ModelProto.Builder.clear()SentencepieceModel.ModelProto.Builder.clearDenormalizerSpec()Spec for text de-normalization.SentencepieceModel.ModelProto.Builder.clearExtension(com.google.protobuf.GeneratedMessage.GeneratedExtension<SentencepieceModel.ModelProto, T> extension) SentencepieceModel.ModelProto.Builder.clearField(com.google.protobuf.Descriptors.FieldDescriptor field) SentencepieceModel.ModelProto.Builder.clearNormalizerSpec()Spec for text normalization.SentencepieceModel.ModelProto.Builder.clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) SentencepieceModel.ModelProto.Builder.clearPieces()Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.clearSelfTestData()Stores sample input and its expected segmentation to verify the model.SentencepieceModel.ModelProto.Builder.clearTrainerSpec()Spec used to generate this model file.SentencepieceModel.ModelProto.Builder.clone()SentencepieceModel.ModelProto.Builder.mergeDenormalizerSpec(SentencepieceModel.NormalizerSpec value) Spec for text de-normalization.SentencepieceModel.ModelProto.Builder.mergeFrom(SentencepieceModel.ModelProto other) SentencepieceModel.ModelProto.Builder.mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) SentencepieceModel.ModelProto.Builder.mergeFrom(com.google.protobuf.Message other) SentencepieceModel.ModelProto.Builder.mergeNormalizerSpec(SentencepieceModel.NormalizerSpec value) Spec for text normalization.SentencepieceModel.ModelProto.Builder.mergeSelfTestData(SentencepieceModel.SelfTestData value) Stores sample input and its expected segmentation to verify the model.SentencepieceModel.ModelProto.Builder.mergeTrainerSpec(SentencepieceModel.TrainerSpec value) Spec used to generate this model file.SentencepieceModel.ModelProto.Builder.mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) SentencepieceModel.ModelProto.newBuilder()SentencepieceModel.ModelProto.newBuilder(SentencepieceModel.ModelProto prototype) SentencepieceModel.ModelProto.newBuilderForType()SentencepieceModel.ModelProto.Builder.removePieces(int index) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.setDenormalizerSpec(SentencepieceModel.NormalizerSpec value) Spec for text de-normalization.SentencepieceModel.ModelProto.Builder.setDenormalizerSpec(SentencepieceModel.NormalizerSpec.Builder builderForValue) Spec for text de-normalization.SentencepieceModel.ModelProto.Builder.setExtension(com.google.protobuf.GeneratedMessage.GeneratedExtension<SentencepieceModel.ModelProto, List<Type>> extension, int index, Type value) SentencepieceModel.ModelProto.Builder.setExtension(com.google.protobuf.GeneratedMessage.GeneratedExtension<SentencepieceModel.ModelProto, Type> extension, Type value) SentencepieceModel.ModelProto.Builder.setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value) SentencepieceModel.ModelProto.Builder.setNormalizerSpec(SentencepieceModel.NormalizerSpec value) Spec for text normalization.SentencepieceModel.ModelProto.Builder.setNormalizerSpec(SentencepieceModel.NormalizerSpec.Builder builderForValue) Spec for text normalization.SentencepieceModel.ModelProto.Builder.setPieces(int index, SentencepieceModel.ModelProto.SentencePiece value) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.setPieces(int index, SentencepieceModel.ModelProto.SentencePiece.Builder builderForValue) Sentence pieces with scores.SentencepieceModel.ModelProto.Builder.setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value) SentencepieceModel.ModelProto.Builder.setSelfTestData(SentencepieceModel.SelfTestData value) Stores sample input and its expected segmentation to verify the model.SentencepieceModel.ModelProto.Builder.setSelfTestData(SentencepieceModel.SelfTestData.Builder builderForValue) Stores sample input and its expected segmentation to verify the model.SentencepieceModel.ModelProto.Builder.setTrainerSpec(SentencepieceModel.TrainerSpec value) Spec used to generate this model file.SentencepieceModel.ModelProto.Builder.setTrainerSpec(SentencepieceModel.TrainerSpec.Builder builderForValue) Spec used to generate this model file.SentencepieceModel.ModelProto.Builder.setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) SentencepieceModel.ModelProto.toBuilder()