English wav2vec2_burak_nepal_bhasa_300_v2_8_pipeline pipeline Wav2Vec2ForCTC from burakyldrm

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_burak_nepal_bhasa_300_v2_8_pipeline is a English model originally trained by burakyldrm.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("wav2vec2_burak_nepal_bhasa_300_v2_8_pipeline", lang = "en")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("wav2vec2_burak_nepal_bhasa_300_v2_8_pipeline", lang = "en")
val annotations = pipeline.transform(df)

Model Information

Model Name: wav2vec2_burak_nepal_bhasa_300_v2_8_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: en
Size: 1.2 GB

References

https://huggingface.co/burakyldrm/wav2vec2-burak-new-300-v2-8

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC