Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.turkishbertweet_pipeline is a Turkish model originally trained by VRLLab.
How to use
pipeline = PretrainedPipeline("turkishbertweet_pipeline", lang = "tr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("turkishbertweet_pipeline", lang = "tr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | turkishbertweet_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 606.1 MB |
References
https://huggingface.co/VRLLab/TurkishBERTweet
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings