Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_classifier_base_bne_finetuned_catalonia_independence_detector_pipeline is a Castilian, Spanish model originally trained by JonatanGk.
How to use
pipeline = PretrainedPipeline("roberta_classifier_base_bne_finetuned_catalonia_independence_detector_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_classifier_base_bne_finetuned_catalonia_independence_detector_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_classifier_base_bne_finetuned_catalonia_independence_detector_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 447.9 MB |
References
https://huggingface.co/JonatanGk/roberta-base-bne-finetuned-catalonia-independence-detector
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification