Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_tiny_tamil_example_pipeline is a Tamil model originally trained by parambharat.
This model is only compatible with PySpark 3.4 and above
How to use
pipeline = PretrainedPipeline('asr_whisper_tiny_tamil_example_pipeline', lang = 'ta')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline('asr_whisper_tiny_tamil_example_pipeline', lang = 'ta')
val annotations = pipeline.transform(audioDF)
Model Information
| Model Name: | asr_whisper_tiny_tamil_example_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.1.4+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ta |
| Size: | 390.9 MB |
References
https://huggingface.co/parambharat/whisper-tiny-ta-example
Included Models
- AudioAssembler
- WhisperForCTC