Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tibetan_roberta_base_pipeline is a Tibetan model originally trained by sangjeedondrub.
How to use
pipeline = PretrainedPipeline("tibetan_roberta_base_pipeline", lang = "bo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tibetan_roberta_base_pipeline", lang = "bo")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tibetan_roberta_base_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bo |
| Size: | 311.2 MB |
References
https://huggingface.co/sangjeedondrub/tibetan-roberta-base
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings