Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_swedish_riksdag_100h_transcripts_nolm_pipeline
is a Swedish model originally trained by jimregan.
How to use
pipeline = PretrainedPipeline("wav2vec2_swedish_riksdag_100h_transcripts_nolm_pipeline", lang = "sv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_swedish_riksdag_100h_transcripts_nolm_pipeline", lang = "sv")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_swedish_riksdag_100h_transcripts_nolm_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | sv |
Size: | 767.6 MB |
References
https://huggingface.co/jimregan/wav2vec2-swedish-riksdag-100h-transcripts-nolm
Included Models
- AudioAssembler
- Wav2Vec2ForCTC