Multilingual whisper_tiny_finetuned_multilingual_5_languages_pipeline pipeline WhisperForCTC from Prasetyow12

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.

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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