Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.libri_alpha_1_temp_1_mse_pipeline is a English model originally trained by rohitp1.
How to use
pipeline = PretrainedPipeline("libri_alpha_1_temp_1_mse_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("libri_alpha_1_temp_1_mse_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | libri_alpha_1_temp_1_mse_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 189.2 MB |
References
https://huggingface.co/rohitp1/libri-alpha-1-Temp-1-mse
Included Models
- AudioAssembler
- Wav2Vec2ForCTC