Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_large_pm_m3_voc_hf_finetuned_echosquad_pipeline is a English model originally trained by mdana3474.
How to use
pipeline = PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_echosquad_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_large_pm_m3_voc_hf_finetuned_echosquad_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_large_pm_m3_voc_hf_finetuned_echosquad_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 846.2 MB |
References
https://huggingface.co/mdana3474/RoBERTa-large-PM-M3-Voc-hf-finetuned-echosquad
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering