Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.uzbek_stt_1_version_pipeline is a Uzbek model originally trained by oyqiz.
How to use
pipeline = PretrainedPipeline("uzbek_stt_1_version_pipeline", lang = "uz")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("uzbek_stt_1_version_pipeline", lang = "uz")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | uzbek_stt_1_version_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | uz |
| Size: | 348.5 MB |
References
https://huggingface.co/oyqiz/uzbek_stt_1_version
Included Models
- AudioAssembler
- Wav2Vec2ForCTC