Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xls_r_300m_swedish_pipeline is a Swedish model originally trained by hf-test.
How to use
pipeline = PretrainedPipeline("xls_r_300m_swedish_pipeline", lang = "sv")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xls_r_300m_swedish_pipeline", lang = "sv")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xls_r_300m_swedish_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | sv |
| Size: | 1.2 GB |
References
https://huggingface.co/hf-test/xls-r-300m-sv
Included Models
- AudioAssembler
- Wav2Vec2ForCTC