Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_uzbek_pipeline is a Uzbek model originally trained by Makhmud.
How to use
pipeline = PretrainedPipeline("whisper_uzbek_pipeline", lang = "uz")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_uzbek_pipeline", lang = "uz")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_uzbek_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uz |
| Size: | 1.7 GB |
References
https://huggingface.co/Makhmud/whisper-uzbek
Included Models
- AudioAssembler
- WhisperForCTC