Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.amazon_helpfulness_classification_on_tapt_pretrained_full_train_pipeline is a English model originally trained by ltuzova.
How to use
pipeline = PretrainedPipeline("amazon_helpfulness_classification_on_tapt_pretrained_full_train_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("amazon_helpfulness_classification_on_tapt_pretrained_full_train_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | amazon_helpfulness_classification_on_tapt_pretrained_full_train_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 468.5 MB |
References
https://huggingface.co/ltuzova/amazon_helpfulness_classification_on_TAPT_pretrained_full_train
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification