Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_qa_base_squad_pipeline is a Dutch, Flemish model originally trained by Nadav.
How to use
pipeline = PretrainedPipeline("roberta_qa_base_squad_pipeline", lang = "nl")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_qa_base_squad_pipeline", lang = "nl")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_qa_base_squad_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | nl |
| Size: | 435.7 MB |
References
https://huggingface.co/Nadav/roberta-base-squad-nl
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering