Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.roberta_tajik_pipeline is a Tajik model originally trained by muhtasham.
How to use
pipeline = PretrainedPipeline("roberta_tajik_pipeline", lang = "tg")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("roberta_tajik_pipeline", lang = "tg")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | roberta_tajik_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tg |
| Size: | 311.7 MB |
References
https://huggingface.co/muhtasham/RoBERTa-tg
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings