Nepali (macrolanguage) asr_whisper_small_nepali_np_pipeline pipeline WhisperForCTC from julie200

Description

Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_small_nepali_np_pipeline is a Nepali (macrolanguage) model originally trained by julie200.

This model is only compatible with PySpark 3.4 and above

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How to use


pipeline = PretrainedPipeline('asr_whisper_small_nepali_np_pipeline', lang = 'ne')
annotations =  pipeline.transform(audioDF)


val pipeline = new PretrainedPipeline('asr_whisper_small_nepali_np_pipeline', lang = 'ne')
val annotations = pipeline.transform(audioDF)

Model Information

Model Name: asr_whisper_small_nepali_np_pipeline
Type: pipeline
Compatibility: Spark NLP 5.1.4+
License: Open Source
Edition: Official
Language: ne
Size: 1.7 GB

References

https://huggingface.co/julie200/whisper-small-ne-np

Included Models

  • AudioAssembler
  • WhisperForCTC