Description
Pretrained Wav2vec2  pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_wav2vec2_large_xlsr_53_spanish_by_mrm8488 is a Castilian, Spanish model originally trained by mrm8488.
NOTE: This pipeline only works on a CPU, if you need to use this pipeline on a GPU device please use pipeline_asr_wav2vec2_large_xlsr_53_spanish_by_mrm8488_gpu
How to use
    pipeline = PretrainedPipeline('pipeline_asr_wav2vec2_large_xlsr_53_spanish_by_mrm8488', lang = 'es')
    annotations =  pipeline.transform(audioDF)
    
    val pipeline = new PretrainedPipeline("pipeline_asr_wav2vec2_large_xlsr_53_spanish_by_mrm8488", lang = "es")
    val annotations = pipeline.transform(audioDF)
    
Model Information
| Model Name: | pipeline_asr_wav2vec2_large_xlsr_53_spanish_by_mrm8488 | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 4.4.0+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | es | 
| Size: | 1.2 GB | 
Included Models
- AudioAssembler
- Wav2Vec2ForCTC