Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.test_nepal_bhasa_study_roberta_large_two_way_pipeline is a English model originally trained by xiazeng.
How to use
pipeline = PretrainedPipeline("test_nepal_bhasa_study_roberta_large_two_way_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("test_nepal_bhasa_study_roberta_large_two_way_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | test_nepal_bhasa_study_roberta_large_two_way_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/xiazeng/test-new-study_roberta-large_two-way
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification