Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_finetuned_sick_leave_detector_pipeline is a English model originally trained by kamilhism.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_sick_leave_detector_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_sick_leave_detector_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_finetuned_sick_leave_detector_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 822.2 MB |
References
https://huggingface.co/kamilhism/xlm-roberta-base-finetuned-sick-leave-detector
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification