Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_swedish_riksdag_49h_transcripts_lm_pipeline is a Swedish model originally trained by jimregan.
How to use
pipeline = PretrainedPipeline("wav2vec2_swedish_riksdag_49h_transcripts_lm_pipeline", lang = "sv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_swedish_riksdag_49h_transcripts_lm_pipeline", lang = "sv")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_swedish_riksdag_49h_transcripts_lm_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-49h-transcripts-lm
Included Models
- AudioAssembler
- Wav2Vec2ForCTC