Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_base_malayalam_pipeline is a Malayalam model originally trained by parambharat.
How to use
pipeline = PretrainedPipeline("whisper_base_malayalam_pipeline", lang = "ml")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_base_malayalam_pipeline", lang = "ml")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_base_malayalam_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ml |
| Size: | 643.9 MB |
References
https://huggingface.co/parambharat/whisper-base-ml
Included Models
- AudioAssembler
- WhisperForCTC