Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.finetuned_roberta_base_squad2_model_for_insurance_data_pipeline is a English model originally trained by sprateek.
How to use
pipeline = PretrainedPipeline("finetuned_roberta_base_squad2_model_for_insurance_data_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("finetuned_roberta_base_squad2_model_for_insurance_data_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | finetuned_roberta_base_squad2_model_for_insurance_data_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 463.6 MB |
References
https://huggingface.co/sprateek/finetuned-roberta-base-squad2-model-for-insurance-data
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering