Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_qa_xlm_roberta_base_finetune_qa_pipeline is a English model originally trained by airesearch.
How to use
pipeline = PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_finetune_qa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_finetune_qa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_qa_xlm_roberta_base_finetune_qa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 864.0 MB |
References
https://huggingface.co/airesearch/xlm-roberta-base-finetune-qa
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering