Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_citizen_nlu_bengali_1370652766_pipeline is a Bengali model originally trained by neuralspace.
How to use
pipeline = PretrainedPipeline("autotrain_citizen_nlu_bengali_1370652766_pipeline", lang = "bn")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_citizen_nlu_bengali_1370652766_pipeline", lang = "bn")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_citizen_nlu_bengali_1370652766_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bn |
| Size: | 312.0 MB |
References
https://huggingface.co/neuralspace/autotrain-citizen_nlu_bn-1370652766
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification