Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_tiny_tamil_v3_pipeline is a Multilingual model originally trained by tamilnlpSLIIT.
How to use
pipeline = PretrainedPipeline("whisper_tiny_tamil_v3_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_tiny_tamil_v3_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_tiny_tamil_v3_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 242.9 MB |
References
https://huggingface.co/tamilnlpSLIIT/whisper-tiny-ta-v3
Included Models
- AudioAssembler
- WhisperForCTC