Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qa_synthetic_data_only_16_aug_pipeline is a English model originally trained by am-infoweb.
How to use
pipeline = PretrainedPipeline("qa_synthetic_data_only_16_aug_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("qa_synthetic_data_only_16_aug_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | qa_synthetic_data_only_16_aug_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 796.9 MB |
References
https://huggingface.co/am-infoweb/QA_SYNTHETIC_DATA_ONLY_16_AUG
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering