Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xls_r_300m_kazakh_with_lm_pipeline
is a Kazakh model originally trained by DrishtiSharma.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_xls_r_300m_kazakh_with_lm_pipeline", lang = "kk")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_xls_r_300m_kazakh_with_lm_pipeline", lang = "kk")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_large_xls_r_300m_kazakh_with_lm_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | kk |
Size: | 1.2 GB |
References
https://huggingface.co/DrishtiSharma/wav2vec2-large-xls-r-300m-kk-with-LM
Included Models
- AudioAssembler
- Wav2Vec2ForCTC