Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_xls_r_300m_korean_lm_pipeline
is a Korean model originally trained by w11wo.
How to use
pipeline = PretrainedPipeline("wav2vec2_xls_r_300m_korean_lm_pipeline", lang = "ko")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_xls_r_300m_korean_lm_pipeline", lang = "ko")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_xls_r_300m_korean_lm_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ko |
Size: | 1.2 GB |
References
https://huggingface.co/w11wo/wav2vec2-xls-r-300m-korean-lm
Included Models
- AudioAssembler
- Wav2Vec2ForCTC