Tatar asr_whisper_small_tatar_pipeline pipeline WhisperForCTC from 501Good

Description

Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_small_tatar_pipeline is a Tatar model originally trained by 501Good.

This model is only compatible with PySpark 3.4 and above

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline('asr_whisper_small_tatar_pipeline', lang = 'tt')
annotations =  pipeline.transform(audioDF)


val pipeline = new PretrainedPipeline('asr_whisper_small_tatar_pipeline', lang = 'tt')
val annotations = pipeline.transform(audioDF)

Model Information

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

References

https://huggingface.co/501Good/whisper-small-tt

Included Models

  • AudioAssembler
  • WhisperForCTC