Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.repo_name_jpep26_pipeline is a Korean model originally trained by Jpep26.
How to use
pipeline = PretrainedPipeline("repo_name_jpep26_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("repo_name_jpep26_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | repo_name_jpep26_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ko |
| Size: | 643.7 MB |
References
https://huggingface.co/Jpep26/repo_name
Included Models
- AudioAssembler
- WhisperForCTC