Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_base_turkish_scientific_cased_pipeline is a Turkish model originally trained by serdarcaglar.
How to use
pipeline = PretrainedPipeline("roberta_base_turkish_scientific_cased_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_base_turkish_scientific_cased_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_base_turkish_scientific_cased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 311.3 MB |
References
https://huggingface.co/serdarcaglar/roberta-base-turkish-scientific-cased
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings