Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.electra_qa_base_v2_finetuned_korquad_384_pipeline is a Korean model originally trained by monologg.
How to use
pipeline = PretrainedPipeline("electra_qa_base_v2_finetuned_korquad_384_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("electra_qa_base_v2_finetuned_korquad_384_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | electra_qa_base_v2_finetuned_korquad_384_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 411.8 MB |
References
https://huggingface.co/monologg/koelectra-base-v2-finetuned-korquad-384
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering