Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_intent_classification_roberta_3647697496_pipeline is a English model originally trained by harshasurampudi.
How to use
pipeline = PretrainedPipeline("autotrain_intent_classification_roberta_3647697496_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_intent_classification_roberta_3647697496_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_intent_classification_roberta_3647697496_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 415.6 MB |
References
https://huggingface.co/harshasurampudi/autotrain-intent-classification-roberta-3647697496
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification