Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xls_r_300m_estonian_pipeline is a Estonian model originally trained by TalTechNLP.
How to use
pipeline = PretrainedPipeline("xls_r_300m_estonian_pipeline", lang = "et")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xls_r_300m_estonian_pipeline", lang = "et")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xls_r_300m_estonian_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | et |
| Size: | 764.3 MB |
References
https://huggingface.co/TalTechNLP/xls-r-300m-et
Included Models
- AudioAssembler
- Wav2Vec2ForCTC