Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_qa_xlm_3lang_pipeline is a English model originally trained by krinal214.
How to use
pipeline = PretrainedPipeline("xlm_roberta_qa_xlm_3lang_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_qa_xlm_3lang_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_qa_xlm_3lang_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 863.5 MB |
References
https://huggingface.co/krinal214/xlm-3lang
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering