Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_r_base_finetuned_after_mrp_clean_rain_9_pipeline is a English model originally trained by haturusinghe.
How to use
pipeline = PretrainedPipeline("xlm_r_base_finetuned_after_mrp_clean_rain_9_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_r_base_finetuned_after_mrp_clean_rain_9_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_r_base_finetuned_after_mrp_clean_rain_9_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 807.3 MB |
References
https://huggingface.co/haturusinghe/xlm_r_base-finetuned_after_mrp-clean-rain-9
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification