Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_sequence_classifier_bsc_base_spanish_diagnostics_pipeline is a Castilian, Spanish model originally trained by mrm8488.
How to use
pipeline = PretrainedPipeline("roberta_sequence_classifier_bsc_base_spanish_diagnostics_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_sequence_classifier_bsc_base_spanish_diagnostics_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_sequence_classifier_bsc_base_spanish_diagnostics_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 441.6 MB |
References
https://huggingface.co/mrm8488/bsc-roberta-base-spanish-diagnostics
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification