Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.macedonian_roberta_base_pipeline is a Macedonian model originally trained by macedonizer.
How to use
pipeline = PretrainedPipeline("macedonian_roberta_base_pipeline", lang = "mk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("macedonian_roberta_base_pipeline", lang = "mk")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | macedonian_roberta_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mk |
| Size: | 311.9 MB |
References
https://huggingface.co/macedonizer/mk-roberta-base
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings