English roberta_base_unlabeled_gab_semeval2023_task10_45000samplesample_pipeline pipeline RoBertaEmbeddings from HPL

Description

Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_base_unlabeled_gab_semeval2023_task10_45000samplesample_pipeline is a English model originally trained by HPL.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("roberta_base_unlabeled_gab_semeval2023_task10_45000samplesample_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("roberta_base_unlabeled_gab_semeval2023_task10_45000samplesample_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: roberta_base_unlabeled_gab_semeval2023_task10_45000samplesample_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Language: en
Size: 465.9 MB

References

https://huggingface.co/HPL/roberta-base-unlabeled-gab-semeval2023-task10-45000samplesample

Included Models

  • DocumentAssembler
  • TokenizerModel
  • RoBertaEmbeddings