Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.response_quality_classifier_large_pipeline is a Russian model originally trained by t-bank-ai.
How to use
pipeline = PretrainedPipeline("response_quality_classifier_large_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("response_quality_classifier_large_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | response_quality_classifier_large_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 1.3 GB |
References
https://huggingface.co/t-bank-ai/response-quality-classifier-large
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification