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  • John Snow Labs
  • Apr 07, 2025

English wav2vec2_large_960h_lv60_self_with_wikipedia_lm_pipeline pipeline Wav2Vec2ForCTC from gxbag

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_960h_lv60_self_with_wikipedia_lm_pipeline is a English model originally trained by gxbag.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("wav2vec2_large_960h_lv60_self_with_wikipedia_lm_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("wav2vec2_large_960h_lv60_self_with_wikipedia_lm_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_large_960h_lv60_self_with_wikipedia_lm_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 767.4 MB

References

https://huggingface.co/gxbag/wav2vec2-large-960h-lv60-self-with-wikipedia-lm

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC