Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_xlm_roberta_base_qa_95197146303_pipeline is a English model originally trained by baketsu.
How to use
pipeline = PretrainedPipeline("autotrain_xlm_roberta_base_qa_95197146303_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_xlm_roberta_base_qa_95197146303_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_xlm_roberta_base_qa_95197146303_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 893.6 MB |
References
https://huggingface.co/baketsu/autotrain-xlm-roberta-base-qa-95197146303
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering