Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_qa_xlm_roberta_base_arabic_pipeline
is a Arabic model originally trained by bhavikardeshna.
Predicted Entities
How to use
pipeline = PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_arabic_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_arabic_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
Model Name: | xlm_roberta_qa_xlm_roberta_base_arabic_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ar |
Size: | 884.0 MB |
References
References
https://huggingface.co/bhavikardeshna/xlm-roberta-base-arabic
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering