Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.persian_text_emotion_classification_pipeline is a Persian model originally trained by omid-ebi.
How to use
pipeline = PretrainedPipeline("persian_text_emotion_classification_pipeline", lang = "fa")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("persian_text_emotion_classification_pipeline", lang = "fa")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | persian_text_emotion_classification_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fa |
| Size: | 608.7 MB |
References
https://huggingface.co/omid-ebi/Persian-Text-Emotion-Classification
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification