Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_1to5rating_pred_for_restaur_trained_on_hotels_pipeline is a English model originally trained by ordek899.
How to use
pipeline = PretrainedPipeline("roberta_1to5rating_pred_for_restaur_trained_on_hotels_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_1to5rating_pred_for_restaur_trained_on_hotels_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_1to5rating_pred_for_restaur_trained_on_hotels_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 457.6 MB |
References
https://huggingface.co/ordek899/roberta_1to5rating_pred_for_restaur_trained_on_hotels
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification