Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indicwav2vec_odia_pipeline is a Oriya (macrolanguage) model originally trained by ai4bharat.
How to use
pipeline = PretrainedPipeline("indicwav2vec_odia_pipeline", lang = "or")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indicwav2vec_odia_pipeline", lang = "or")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indicwav2vec_odia_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | or |
| Size: | 771.2 MB |
References
https://huggingface.co/ai4bharat/indicwav2vec-odia
Included Models
- AudioAssembler
- Wav2Vec2ForCTC