Description
Pretrained Wav2vec2 pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_wav2vec2_xlsr_khmer
is a Central Khmer, Khmer model originally trained by gagan3012.
NOTE: This pipeline only works on a CPU, if you need to use this pipeline on a GPU device please use pipeline_asr_wav2vec2_xlsr_khmer_gpu
How to use
pipeline = PretrainedPipeline('pipeline_asr_wav2vec2_xlsr_khmer', lang = 'km')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline("pipeline_asr_wav2vec2_xlsr_khmer", lang = "km")
val annotations = pipeline.transform(audioDF)
Model Information
Model Name: | pipeline_asr_wav2vec2_xlsr_khmer |
Type: | pipeline |
Compatibility: | Spark NLP 4.4.0+ |
License: | Open Source |
Edition: | Official |
Language: | km |
Size: | 1.2 GB |
Included Models
- AudioAssembler
- Wav2Vec2ForCTC