Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bridze_pipeline is a Korean model originally trained by oceanstar.
How to use
pipeline = PretrainedPipeline("bridze_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bridze_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bridze_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 643.6 MB |
References
https://huggingface.co/oceanstar/bridze
Included Models
- AudioAssembler
- WhisperForCTC