Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rup_answer_option_likert_scale_pipeline is a English model originally trained by julian-schelb.
How to use
pipeline = PretrainedPipeline("rup_answer_option_likert_scale_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rup_answer_option_likert_scale_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rup_answer_option_likert_scale_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 308.7 MB |
References
https://huggingface.co/julian-schelb/rup-answer-option-likert-scale
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification