Class PytorchQATranslator

java.lang.Object
org.apache.ignite.example.ml.pytorchtranslator.PytorchQATranslator
All Implemented Interfaces:
ai.djl.translate.PostProcessor<String>, ai.djl.translate.PreProcessor<PytorchQAInput>, ai.djl.translate.Translator<PytorchQAInput,String>

public class PytorchQATranslator extends Object implements ai.djl.translate.Translator<PytorchQAInput,String>
Translator for PyTorch-based Question Answering models.
  • Method Details

    • getBatchifier

      public ai.djl.translate.Batchifier getBatchifier()
      Specified by:
      getBatchifier in interface ai.djl.translate.Translator<PytorchQAInput,String>
    • processInput

      public ai.djl.ndarray.NDList processInput(ai.djl.translate.TranslatorContext ctx, PytorchQAInput input)
      Specified by:
      processInput in interface ai.djl.translate.PreProcessor<PytorchQAInput>
    • batchProcessInput

      public ai.djl.ndarray.NDList batchProcessInput(ai.djl.translate.TranslatorContext ctx, List<PytorchQAInput> inputs)
      Specified by:
      batchProcessInput in interface ai.djl.translate.Translator<PytorchQAInput,String>
    • processOutput

      public String processOutput(ai.djl.translate.TranslatorContext ctx, ai.djl.ndarray.NDList list)
      Specified by:
      processOutput in interface ai.djl.translate.PostProcessor<String>
    • batchProcessOutput

      public List<String> batchProcessOutput(ai.djl.translate.TranslatorContext ctx, ai.djl.ndarray.NDList list)
      Specified by:
      batchProcessOutput in interface ai.djl.translate.Translator<PytorchQAInput,String>
    • builder

      public static PytorchQATranslator.Builder builder(ai.djl.huggingface.tokenizers.HuggingFaceTokenizer tokenizer)
    • builder

      public static PytorchQATranslator.Builder builder(ai.djl.huggingface.tokenizers.HuggingFaceTokenizer tokenizer, Map<String,?> arguments)