Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_tiny_nepali_pipeline is a Nepali (macrolanguage) model originally trained by kiranpantha.
How to use
pipeline = PretrainedPipeline("whisper_tiny_nepali_pipeline", lang = "ne")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_tiny_nepali_pipeline", lang = "ne")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_tiny_nepali_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ne |
| Size: | 390.0 MB |
References
https://huggingface.co/kiranpantha/whisper-tiny-ne
Included Models
- AudioAssembler
- WhisperForCTC