Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_xlsr_53_espeak_chuvash_ft_evn2_ntsema_colab_pipeline
is a English model originally trained by ntsema.
How to use
pipeline = PretrainedPipeline("wav2vec2_xlsr_53_espeak_chuvash_ft_evn2_ntsema_colab_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_xlsr_53_espeak_chuvash_ft_evn2_ntsema_colab_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_xlsr_53_espeak_chuvash_ft_evn2_ntsema_colab_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 1.2 GB |
References
https://huggingface.co/ntsema/wav2vec2-xlsr-53-espeak-cv-ft-evn2-ntsema-colab
Included Models
- AudioAssembler
- Wav2Vec2ForCTC