Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.final_roberta_with_nepal_bhasa_400k_plus_37k_best_pipeline is a English model originally trained by ManojAlexender.
How to use
pipeline = PretrainedPipeline("final_roberta_with_nepal_bhasa_400k_plus_37k_best_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("final_roberta_with_nepal_bhasa_400k_plus_37k_best_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | final_roberta_with_nepal_bhasa_400k_plus_37k_best_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 468.4 MB |
References
https://huggingface.co/ManojAlexender/final_roberta_with_new_400k_plus_37k_Best
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification