Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qa_refined_questions_and_data_14k_15_08_pipeline is a English model originally trained by am-infoweb.
How to use
pipeline = PretrainedPipeline("qa_refined_questions_and_data_14k_15_08_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("qa_refined_questions_and_data_14k_15_08_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | qa_refined_questions_and_data_14k_15_08_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 464.0 MB |
References
https://huggingface.co/am-infoweb/QA_REFINED_QUESTIONS_AND_DATA_14K_15-08
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering