Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_960h_lv60_self_4_gram_pipeline is a English model originally trained by patrickvonplaten.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_960h_lv60_self_4_gram_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_960h_lv60_self_4_gram_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_large_960h_lv60_self_4_gram_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 767.4 MB |
References
https://huggingface.co/patrickvonplaten/wav2vec2-large-960h-lv60-self-4-gram
Included Models
- AudioAssembler
- Wav2Vec2ForCTC