Description
Pretrained Hubert pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_swin_hubert_large_ami_shard_experiment_colab is a English model originally trained by doppel-neo.
How to use
pipeline = PretrainedPipeline('pipeline_asr_swin_hubert_large_ami_shard_experiment_colab', lang = 'en')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline("pipeline_asr_swin_hubert_large_ami_shard_experiment_colab", lang = "en")
val annotations = pipeline.transform(audioDF)
Model Information
| Model Name: | pipeline_asr_swin_hubert_large_ami_shard_experiment_colab |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 6.4 MB |
Included Models
- AudioAssembler
- HubertForCTC