Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xls_r_kyrgiz_cv8_pipeline
is a Kirghiz, Kyrgyz model originally trained by lucio.
How to use
pipeline = PretrainedPipeline("xls_r_kyrgiz_cv8_pipeline", lang = "ky")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xls_r_kyrgiz_cv8_pipeline", lang = "ky")
val annotations = pipeline.transform(df)
Model Information
Model Name: | xls_r_kyrgiz_cv8_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ky |
Size: | 1.2 GB |
References
https://huggingface.co/lucio/xls-r-kyrgiz-cv8
Included Models
- AudioAssembler
- Wav2Vec2ForCTC