Edit on GitHub
  • John Snow Labs
  • Apr 08, 2025

Swahili (macrolanguage) future_swahili_asr_24_02_2025_pipeline pipeline Wav2Vec2ForCTC from Futuresony

  • sw
  • open_source
  • pipeline
  • onnx

Description

Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.future_swahili_asr_24_02_2025_pipeline is a Swahili (macrolanguage) model originally trained by Futuresony.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("future_swahili_asr_24_02_2025_pipeline", lang = "sw")
annotations =  pipeline.transform(df)   



val pipeline = new PretrainedPipeline("future_swahili_asr_24_02_2025_pipeline", lang = "sw")
val annotations = pipeline.transform(df)

Model Information

Model Name: future_swahili_asr_24_02_2025_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: sw
Size: 1.2 GB

References

https://huggingface.co/Futuresony/Future-sw_ASR-24-02-2025

Included Models

  • AudioAssembler
  • Wav2Vec2ForCTC