Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.finetuned_roberta_large_custom_pipeline
is a English model originally trained by Glow-01.
How to use
pipeline = PretrainedPipeline("finetuned_roberta_large_custom_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("finetuned_roberta_large_custom_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | finetuned_roberta_large_custom_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 1.3 GB |
References
https://huggingface.co/Glow-01/finetuned_roberta_large_custom
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering