Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_tiny_finetuned_multilingual_5_languages_pipeline is a Multilingual model originally trained by Prasetyow12.
How to use
pipeline = PretrainedPipeline("whisper_tiny_finetuned_multilingual_5_languages_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_tiny_finetuned_multilingual_5_languages_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_tiny_finetuned_multilingual_5_languages_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 390.0 MB |
References
https://huggingface.co/Prasetyow12/whisper-tiny-finetuned-multilingual-5-languages
Included Models
- AudioAssembler
- WhisperForCTC