Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.nli_roberta_base_finetuned_for_amazon_review_ratings_pipeline is a English model originally trained by ktdent.
How to use
pipeline = PretrainedPipeline("nli_roberta_base_finetuned_for_amazon_review_ratings_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("nli_roberta_base_finetuned_for_amazon_review_ratings_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | nli_roberta_base_finetuned_for_amazon_review_ratings_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 466.0 MB |
References
https://huggingface.co/ktdent/nli-roberta-base-finetuned-for-amazon-review-ratings
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification