Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.financial_phrasebank_synthetic_temp_0_01_paraphrased_30perc_pipeline is a English model originally trained by kruthof.
How to use
pipeline = PretrainedPipeline("financial_phrasebank_synthetic_temp_0_01_paraphrased_30perc_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("financial_phrasebank_synthetic_temp_0_01_paraphrased_30perc_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | financial_phrasebank_synthetic_temp_0_01_paraphrased_30perc_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 430.2 MB |
References
https://huggingface.co/kruthof/financial_phrasebank_synthetic_temp_0_01_paraphrased_30perc
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification