Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_base_indonesian_rizka_pipeline is a Indonesian model originally trained by Rizka.
How to use
pipeline = PretrainedPipeline("whisper_base_indonesian_rizka_pipeline", lang = "id")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_base_indonesian_rizka_pipeline", lang = "id")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_base_indonesian_rizka_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | id |
| Size: | 642.1 MB |
References
https://huggingface.co/Rizka/whisper-base-id
Included Models
- AudioAssembler
- WhisperForCTC