Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tamil_wav2vec_xls_r_300m_tamil_colab_pipeline
is a Tamil model originally trained by bharat-raghunathan.
How to use
pipeline = PretrainedPipeline("tamil_wav2vec_xls_r_300m_tamil_colab_pipeline", lang = "ta")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tamil_wav2vec_xls_r_300m_tamil_colab_pipeline", lang = "ta")
val annotations = pipeline.transform(df)
Model Information
Model Name: | tamil_wav2vec_xls_r_300m_tamil_colab_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ta |
Size: | 1.2 GB |
References
https://huggingface.co/bharat-raghunathan/Tamil-Wav2Vec-xls-r-300m-Tamil-colab
Included Models
- AudioAssembler
- Wav2Vec2ForCTC