Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arabic_multi_pipeline is a Arabic model originally trained by simoneZethof.
How to use
pipeline = PretrainedPipeline("arabic_multi_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arabic_multi_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arabic_multi_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 856.1 MB |
References
https://huggingface.co/simoneZethof/Arabic_multi
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering