Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xls_r_300m_marathi_marh_v2_pipeline
is a Marathi model originally trained by DrishtiSharma.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_xls_r_300m_marathi_marh_v2_pipeline", lang = "mr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_large_xls_r_300m_marathi_marh_v2_pipeline", lang = "mr")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wav2vec2_large_xls_r_300m_marathi_marh_v2_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | mr |
Size: | 1.2 GB |
References
https://huggingface.co/DrishtiSharma/wav2vec2-large-xls-r-300m-mr-v2
Included Models
- AudioAssembler
- Wav2Vec2ForCTC