Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hat5_roberta_pipeline
is a English model originally trained by sana-ngu.
How to use
pipeline = PretrainedPipeline("hat5_roberta_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("hat5_roberta_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | hat5_roberta_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 430.4 MB |
References
https://huggingface.co/sana-ngu/Hat5-Roberta
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification