Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.rubert_tiny2_russian_emotion_detection_russian_go_emotions_pipeline is a Russian model originally trained by seara.
How to use
pipeline = PretrainedPipeline("rubert_tiny2_russian_emotion_detection_russian_go_emotions_pipeline", lang = "ru")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("rubert_tiny2_russian_emotion_detection_russian_go_emotions_pipeline", lang = "ru")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | rubert_tiny2_russian_emotion_detection_russian_go_emotions_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ru |
| Size: | 109.5 MB |
References
https://huggingface.co/seara/rubert-tiny2-russian-emotion-detection-ru-go-emotions
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification