Malayalam whisper_small_malayalam_v6_pipeline pipeline WhisperForCTC from arjunshajitech

Description

Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_small_malayalam_v6_pipeline is a Malayalam model originally trained by arjunshajitech.

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How to use


pipeline = PretrainedPipeline("whisper_small_malayalam_v6_pipeline", lang = "ml")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("whisper_small_malayalam_v6_pipeline", lang = "ml")
val annotations = pipeline.transform(df)

Model Information

Model Name: whisper_small_malayalam_v6_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: ml
Size: 1.7 GB

References

https://huggingface.co/arjunshajitech/whisper-small-malayalam-v6

Included Models

  • AudioAssembler
  • WhisperForCTC