Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_turkish_text_classification_cased_pipeline is a Turkish model originally trained by ennp.
How to use
pipeline = PretrainedPipeline("bert_turkish_text_classification_cased_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_turkish_text_classification_cased_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_turkish_text_classification_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 691.2 MB |
References
https://huggingface.co/ennp/bert-turkish-text-classification-cased
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification