Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.efficient_fine_tuning_demo_pipeline is a Mongolian model originally trained by BillyBek.
How to use
pipeline = PretrainedPipeline("efficient_fine_tuning_demo_pipeline", lang = "mn")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("efficient_fine_tuning_demo_pipeline", lang = "mn")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | efficient_fine_tuning_demo_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mn |
| Size: | 665.1 MB |
References
https://huggingface.co/BillyBek/efficient-fine-tuning-demo
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification