Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ararest_arabic_restaurant_reviews_sentiment_analysis_pipeline
is a Arabic model originally trained by Abdu-GH.
How to use
pipeline = PretrainedPipeline("ararest_arabic_restaurant_reviews_sentiment_analysis_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ararest_arabic_restaurant_reviews_sentiment_analysis_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
Model Name: | ararest_arabic_restaurant_reviews_sentiment_analysis_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ar |
Size: | 507.1 MB |
References
https://huggingface.co/Abdu-GH/AraRest-Arabic-Restaurant-Reviews-Sentiment-Analysis
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification