Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_qa_fpdm_hier_roberta_FT_newsqa_pipeline is a English model originally trained by AnonymousSub.
How to use
pipeline = PretrainedPipeline("roberta_qa_fpdm_hier_roberta_FT_newsqa_pipeline", lang = "en")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("roberta_qa_fpdm_hier_roberta_FT_newsqa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_qa_fpdm_hier_roberta_FT_newsqa_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.0+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 457.8 MB | 
References
https://huggingface.co/AnonymousSub/fpdm_hier_roberta_FT_newsqa
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering