Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_qa_mrm8488_roberta_base_bne_finetuned_sqac_pipeline
is a Castilian, Spanish model originally trained by mrm8488.
How to use
pipeline = PretrainedPipeline("roberta_qa_mrm8488_roberta_base_bne_finetuned_sqac_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_qa_mrm8488_roberta_base_bne_finetuned_sqac_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
Model Name: | roberta_qa_mrm8488_roberta_base_bne_finetuned_sqac_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | es |
Size: | 459.7 MB |
References
https://huggingface.co/mrm8488/roberta-base-bne-finetuned-sqac
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering