Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.feelin_base_uncased_pipeline is a Indonesian model originally trained by ksnugroho.
How to use
pipeline = PretrainedPipeline("feelin_base_uncased_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("feelin_base_uncased_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | feelin_base_uncased_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 465.7 MB |
References
https://huggingface.co/ksnugroho/feelin-base-uncased
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings