Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bge_ecom_trends_classifier_pipeline is a Russian model originally trained by Maldopast.
How to use
pipeline = PretrainedPipeline("bge_ecom_trends_classifier_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bge_ecom_trends_classifier_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bge_ecom_trends_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 1.3 GB |
References
https://huggingface.co/Maldopast/bge-ecom-trends-classifier
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification