modelSize

@JvmName(name = "skyngjoqtiqlyifk")
suspend fun modelSize(value: Output<Either<String, ModelSize>>)
@JvmName(name = "oiqhfpvmbowphptn")
suspend fun modelSize(value: Either<String, ModelSize>?)
@JvmName(name = "bupjarjlmddjyqmp")
fun modelSize(value: String)
@JvmName(name = "bcmfqxjvcswcfkvf")
fun modelSize(value: ModelSize)

Parameters

value

Model size. Must be 'small', 'medium', 'large', or 'xlarge'. Note: training run may get into CUDA OOM if the model size is too big. Note: This settings is only supported for the 'yolov5' algorithm.