Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_qa_addi_italian_xlm_r_pipeline is a Italian model originally trained by Gantenbein.
How to use
pipeline = PretrainedPipeline("xlm_roberta_qa_addi_italian_xlm_r_pipeline", lang = "it")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_qa_addi_italian_xlm_r_pipeline", lang = "it")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_qa_addi_italian_xlm_r_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | it |
| Size: | 778.3 MB |
References
https://huggingface.co/Gantenbein/ADDI-IT-XLM-R
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering