Lithuanian wav2vec_lithuanian_lite_pipeline pipeline Wav2Vec2ForCTC from seccily

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec_lithuanian_lite_pipeline is a Lithuanian model originally trained by seccily.

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How to use


pipeline = PretrainedPipeline("wav2vec_lithuanian_lite_pipeline", lang = "lt")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("wav2vec_lithuanian_lite_pipeline", lang = "lt")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec_lithuanian_lite_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: lt
Size: 1.2 GB

References

https://huggingface.co/seccily/wav2vec-lt-lite

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC