Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_small_swe2_pipeline is a English model originally trained by Alexao.
This model is only compatible with PySpark 3.4 and above
How to use
pipeline = PretrainedPipeline('asr_whisper_small_swe2_pipeline', lang = 'en')
annotations =  pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline('asr_whisper_small_swe2_pipeline', lang = 'en')
val annotations = pipeline.transform(audioDF)
Model Information
| Model Name: | asr_whisper_small_swe2_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.1.4+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 1.1 GB | 
References
https://huggingface.co/Alexao/whisper-small-swe2
Included Models
- AudioAssembler
- WhisperForCTC