Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlmrobertalongforquestionanswering_base_squad2_256_4096_pipeline is a English model originally trained by sadaqabdo.
How to use
pipeline = PretrainedPipeline("xlmrobertalongforquestionanswering_base_squad2_256_4096_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlmrobertalongforquestionanswering_base_squad2_256_4096_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlmrobertalongforquestionanswering_base_squad2_256_4096_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 883.5 MB |
References
https://huggingface.co/sadaqabdo/XLMRobertaLongForQuestionAnswering-base-squad2-256-4096
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering