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  • John Snow Labs
  • Apr 05, 2025

Esperanto wav2vec2_large_xlsr_53_esperanto_mrm8488_pipeline pipeline Wav2Vec2ForCTC from mrm8488

  • eo
  • open_source
  • pipeline
  • onnx

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xlsr_53_esperanto_mrm8488_pipeline is a Esperanto model originally trained by mrm8488.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("wav2vec2_large_xlsr_53_esperanto_mrm8488_pipeline", lang = "eo")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("wav2vec2_large_xlsr_53_esperanto_mrm8488_pipeline", lang = "eo")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_large_xlsr_53_esperanto_mrm8488_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: eo
Size: 1.2 GB

References

https://huggingface.co/mrm8488/wav2vec2-large-xlsr-53-esperanto

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC