Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_finetuned_country_neg_pipeline
is a English model originally trained by svo2.
How to use
pipeline = PretrainedPipeline("roberta_finetuned_country_neg_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_finetuned_country_neg_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | roberta_finetuned_country_neg_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 464.4 MB |
References
https://huggingface.co/svo2/roberta-finetuned-country-neg
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering