Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_synthesized_turkish_8_hour_hlr_pipeline is a English model originally trained by alikanakar.
How to use
pipeline = PretrainedPipeline("whisper_synthesized_turkish_8_hour_hlr_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_synthesized_turkish_8_hour_hlr_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_synthesized_turkish_8_hour_hlr_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.7 GB |
References
https://huggingface.co/alikanakar/whisper-synthesized-turkish-8-hour-hlr
Included Models
- AudioAssembler
- WhisperForCTC