Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.speech_sprint_test_pipeline is a Abkhazian model originally trained by Mofe.
How to use
pipeline = PretrainedPipeline("speech_sprint_test_pipeline", lang = "ab")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("speech_sprint_test_pipeline", lang = "ab")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | speech_sprint_test_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ab |
| Size: | 133.8 KB |
References
https://huggingface.co/Mofe/speech-sprint-test
Included Models
- AudioAssembler
- Wav2Vec2ForCTC