Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qa_synthetic_data_only_21_aug_xlm_roberta_base_pipeline is a English model originally trained by prajwalJumde.
How to use
pipeline = PretrainedPipeline("qa_synthetic_data_only_21_aug_xlm_roberta_base_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("qa_synthetic_data_only_21_aug_xlm_roberta_base_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | qa_synthetic_data_only_21_aug_xlm_roberta_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 804.0 MB |
References
https://huggingface.co/prajwalJumde/QA_SYNTHETIC_DATA_ONLY_21_AUG_xlm-roberta-base
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering