Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_pipeline is a English model originally trained by NewtonKimathi.
How to use
pipeline = PretrainedPipeline("covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 436.0 MB |
References
https://huggingface.co/NewtonKimathi/Covid_Vaccine_Sentiment_Analysis_Roberta_Model
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification