Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xlsr_53_tatar_crang_pipeline is a Tatar model originally trained by crang.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_xlsr_53_tatar_crang_pipeline", lang = "tt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_xlsr_53_tatar_crang_pipeline", lang = "tt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_large_xlsr_53_tatar_crang_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tt |
| Size: | 1.2 GB |
References
https://huggingface.co/crang/wav2vec2-large-xlsr-53-tatar
Included Models
- AudioAssembler
- Wav2Vec2ForCTC