Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline is a English model originally trained by MatMulMan.
How to use
pipeline = PretrainedPipeline("cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cl_arabertv0_1_base_33379_arabic_tydiqa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 505.0 MB |
References
https://huggingface.co/MatMulMan/CL-AraBERTv0.1-base-33379-arabic_tydiqa
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering