Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mrc_xlmr_base_dsc_pipeline is a English model originally trained by MiuN2k3.
How to use
pipeline = PretrainedPipeline("mrc_xlmr_base_dsc_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mrc_xlmr_base_dsc_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mrc_xlmr_base_dsc_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 815.8 MB |
References
https://huggingface.co/MiuN2k3/mrc-xlmr-base-dsc
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering