Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mediabiasdetector_roberta_3e_pipeline
is a English model originally trained by jordankrishnayah.
How to use
pipeline = PretrainedPipeline("mediabiasdetector_roberta_3e_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mediabiasdetector_roberta_3e_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | mediabiasdetector_roberta_3e_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 439.5 MB |
References
https://huggingface.co/jordankrishnayah/mediabiasdetector-roberta-3e
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification