Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_small_swedish_bm_pipeline is a Swedish model originally trained by birgermoell.
This model is only compatible with PySpark 3.4 and above
How to use
pipeline = PretrainedPipeline('asr_whisper_small_swedish_bm_pipeline', lang = 'sv')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline('asr_whisper_small_swedish_bm_pipeline', lang = 'sv')
val annotations = pipeline.transform(audioDF)
Model Information
| Model Name: | asr_whisper_small_swedish_bm_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.1.4+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sv |
| Size: | 1.7 GB |
References
https://huggingface.co/birgermoell/whisper-small-sv-bm
Included Models
- AudioAssembler
- WhisperForCTC