Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xlsr_53_tatar_anton_l_pipeline
is a Tatar model originally trained by anton-l.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_xlsr_53_tatar_anton_l_pipeline", lang = "tt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_xlsr_53_tatar_anton_l_pipeline", lang = "tt")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_large_xlsr_53_tatar_anton_l_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | tt |
Size: | 1.2 GB |
References
https://huggingface.co/anton-l/wav2vec2-large-xlsr-53-tatar
Included Models
- AudioAssembler
- Wav2Vec2ForCTC