Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.made_encoder_pipeline is a English model originally trained by UKP-SQuARE.
How to use
pipeline = PretrainedPipeline("made_encoder_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("made_encoder_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | made_encoder_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 466.2 MB |
References
https://huggingface.co/UKP-SQuARE/MADE_Encoder
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering