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  • John Snow Labs
  • Apr 08, 2025

English wav2vec2_base_timit_demo_google_colab_marlac_pipeline pipeline Wav2Vec2ForCTC from MarLac

  • en
  • open_source
  • pipeline
  • onnx

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_base_timit_demo_google_colab_marlac_pipeline is a English model originally trained by MarLac.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("wav2vec2_base_timit_demo_google_colab_marlac_pipeline", lang = "en")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("wav2vec2_base_timit_demo_google_colab_marlac_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_base_timit_demo_google_colab_marlac_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 348.7 MB

References

https://huggingface.co/MarLac/wav2vec2-base-timit-demo-google-colab

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC