Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.platzi_distilroberta_base_mrpc_glue_mariano_martin_gualpa_pipeline is a English model originally trained by mgualpa.
How to use
pipeline = PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_mariano_martin_gualpa_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_mariano_martin_gualpa_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | platzi_distilroberta_base_mrpc_glue_mariano_martin_gualpa_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 308.6 MB |
References
https://huggingface.co/mgualpa/platzi-distilroberta-base-mrpc-glue-mariano-martin-gualpa
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification