Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.kazbert_pipeline is a Kazakh model originally trained by Eraly-ml.
How to use
pipeline = PretrainedPipeline("kazbert_pipeline", lang = "kk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("kazbert_pipeline", lang = "kk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | kazbert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | kk |
| Size: | 411.2 MB |
References
https://huggingface.co/Eraly-ml/KazBERT
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings