Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.finetuned_sentiment_classfication_roberta_model_slygags_pipeline is a English model originally trained by Slygags.
How to use
pipeline = PretrainedPipeline("finetuned_sentiment_classfication_roberta_model_slygags_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("finetuned_sentiment_classfication_roberta_model_slygags_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | finetuned_sentiment_classfication_roberta_model_slygags_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 444.0 MB |
References
https://huggingface.co/Slygags/finetuned-Sentiment-classfication-ROBERTA-model
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification