Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.logion_50k_wordpiece_pipeline is a Modern Greek (1453-) model originally trained by princeton-logion.
How to use
pipeline = PretrainedPipeline("logion_50k_wordpiece_pipeline", lang = "el")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("logion_50k_wordpiece_pipeline", lang = "el")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | logion_50k_wordpiece_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | el |
| Size: | 464.1 MB |
References
https://huggingface.co/princeton-logion/LOGION-50k_wordpiece
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings