Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.electra_qa_araElectra_SQUAD_ARCD_768_pipeline is a Arabic model originally trained by aymanm419.
How to use
pipeline = PretrainedPipeline("electra_qa_araElectra_SQUAD_ARCD_768_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("electra_qa_araElectra_SQUAD_ARCD_768_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | electra_qa_araElectra_SQUAD_ARCD_768_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 504.3 MB |
References
https://huggingface.co/aymanm419/araElectra-SQUAD-ARCD-768
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering