Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.trained_distilbert_indonesia_presidential_election_balanced_dataset_pipeline is a Indonesian model originally trained by Rendika.
How to use
pipeline = PretrainedPipeline("trained_distilbert_indonesia_presidential_election_balanced_dataset_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("trained_distilbert_indonesia_presidential_election_balanced_dataset_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | trained_distilbert_indonesia_presidential_election_balanced_dataset_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 255.3 MB |
References
https://huggingface.co/Rendika/Trained-DistilBERT-Indonesia-Presidential-Election-Balanced-Dataset
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification