Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_qa_xlm_roberta_base_hindi_pipeline is a Hindi model originally trained by bhavikardeshna.
How to use
pipeline = PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_hindi_pipeline", lang = "hi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_qa_xlm_roberta_base_hindi_pipeline", lang = "hi")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_qa_xlm_roberta_base_hindi_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hi |
| Size: | 884.8 MB |
References
https://huggingface.co/bhavikardeshna/xlm-roberta-base-hindi
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering