English wav2vec2_base_checkpoint_4_pipeline pipeline Wav2Vec2ForCTC from jiobiala24

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_base_checkpoint_4_pipeline is a English model originally trained by jiobiala24.

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How to use


pipeline = PretrainedPipeline("wav2vec2_base_checkpoint_4_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("wav2vec2_base_checkpoint_4_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_base_checkpoint_4_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 348.6 MB

References

https://huggingface.co/jiobiala24/wav2vec2-base-checkpoint-4

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC