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  • John Snow Labs
  • Dec 17, 2024

English judge_answer___33_deberta_base_enwiki_answerability_2411_pipeline pipeline DeBertaForSequenceClassification from tom-010

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.judge_answer___33_deberta_base_enwiki_answerability_2411_pipeline is a English model originally trained by tom-010.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("judge_answer___33_deberta_base_enwiki_answerability_2411_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("judge_answer___33_deberta_base_enwiki_answerability_2411_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: judge_answer___33_deberta_base_enwiki_answerability_2411_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 673.1 MB

References

https://huggingface.co/tom-010/judge_answer___33_deberta_base_enwiki-answerability-2411

Included Models

  • DocumentAssembler
  • TokenizerModel
  • DeBertaForSequenceClassification