Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.moralstories_roberta_action_context_consequences_cls_pipeline is a English model originally trained by gFulvio.
How to use
pipeline = PretrainedPipeline("moralstories_roberta_action_context_consequences_cls_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("moralstories_roberta_action_context_consequences_cls_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | moralstories_roberta_action_context_consequences_cls_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/gFulvio/moralstories_roberta_action.context_consequences_cls
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification