Assamese wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline pipeline Wav2Vec2ForCTC from anuragshas

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline is a Assamese model originally trained by anuragshas.

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How to use


pipeline = PretrainedPipeline("wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline", lang = "as")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline", lang = "as")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: as
Size: 1.2 GB

References

https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-as

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC