Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline is a Assamese model originally trained by anuragshas.
How to use
pipeline = PretrainedPipeline("wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline", lang = "as")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline", lang = "as")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_large_xls_r_300m_assamese_anuragshas_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | as | 
| Size: | 1.2 GB | 
References
https://huggingface.co/anuragshas/wav2vec2-large-xls-r-300m-as
Included Models
- AudioAssembler
- Wav2Vec2ForCTC