Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline is a English model originally trained by rizquuula.
How to use
pipeline = PretrainedPipeline("roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 454.5 MB |
References
https://huggingface.co/rizquuula/RoBERTa-IndoSQuADv2_1691592486-16-2e-05-0.01-5
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering