Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.classifying_courses_at_scale_six_digit_roberta_base_pipeline is a English model originally trained by annamp.
How to use
pipeline = PretrainedPipeline("classifying_courses_at_scale_six_digit_roberta_base_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("classifying_courses_at_scale_six_digit_roberta_base_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | classifying_courses_at_scale_six_digit_roberta_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 443.4 MB |
References
https://huggingface.co/annamp/classifying-courses-at-scale-six-digit-roberta-base
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification