Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.results_teng0929_pipeline is a English model originally trained by teng0929.
How to use
pipeline = PretrainedPipeline("results_teng0929_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("results_teng0929_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | results_teng0929_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 465.1 MB |
References
https://huggingface.co/teng0929/results
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering