Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arabert_arabic_sentiment_analysis_pipeline is a Arabic model originally trained by PRAli22.
How to use
pipeline = PretrainedPipeline("arabert_arabic_sentiment_analysis_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arabert_arabic_sentiment_analysis_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arabert_arabic_sentiment_analysis_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 507.3 MB |
References
https://huggingface.co/PRAli22/AraBert-Arabic-Sentiment-Analysis
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification