Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_finetuned_subjqa_movies_2_ram20307_pipeline is a English model originally trained by Ram20307.
How to use
pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_ram20307_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_ram20307_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_finetuned_subjqa_movies_2_ram20307_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 464.1 MB |
References
https://huggingface.co/Ram20307/roberta-finetuned-subjqa-movies_2
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering