Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indo_smsa_1_5g_sentiment_analysis_pipeline is a Indonesian model originally trained by dhanikitkat.
How to use
pipeline = PretrainedPipeline("indo_smsa_1_5g_sentiment_analysis_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indo_smsa_1_5g_sentiment_analysis_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indo_smsa_1_5g_sentiment_analysis_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 414.8 MB |
References
https://huggingface.co/dhanikitkat/indo_smsa-1.5G_sentiment_analysis
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification