Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.marone_wolof_wav2vec2_xls_r_300m_pipeline is a Wolof model originally trained by M9and2M.
How to use
pipeline = PretrainedPipeline("marone_wolof_wav2vec2_xls_r_300m_pipeline", lang = "wo")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("marone_wolof_wav2vec2_xls_r_300m_pipeline", lang = "wo")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | marone_wolof_wav2vec2_xls_r_300m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | wo |
| Size: | 1.2 GB |
References
https://huggingface.co/M9and2M/marone_wolof_wav2vec2-xls-r-300m
Included Models
- AudioAssembler
- Wav2Vec2ForCTC