Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_base_cased_finetuned_mnli_pipeline is a English model originally trained by George-Ogden.
How to use
pipeline = PretrainedPipeline("roberta_base_cased_finetuned_mnli_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_base_cased_finetuned_mnli_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_base_cased_finetuned_mnli_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 462.5 MB |
References
https://huggingface.co/George-Ogden/roberta-base-cased-finetuned-mnli
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification