Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ukhbert_narrator_detection_pipeline is a Arabic model originally trained by HikmaLabs.
How to use
pipeline = PretrainedPipeline("ukhbert_narrator_detection_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ukhbert_narrator_detection_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ukhbert_narrator_detection_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 664.9 MB |
References
https://huggingface.co/HikmaLabs/ukhbert_narrator_detection
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification