Description
Pretrained Hubert pipeline, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_swin_exp_w2v2t_et_hubert_s390 is a Estonian model originally trained by jonatasgrosman.
How to use
pipeline = PretrainedPipeline('pipeline_asr_swin_exp_w2v2t_et_hubert_s390', lang = 'et')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline("pipeline_asr_swin_exp_w2v2t_et_hubert_s390", lang = "et")
val annotations = pipeline.transform(audioDF)
Model Information
| Model Name: | pipeline_asr_swin_exp_w2v2t_et_hubert_s390 |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | et |
| Size: | 2.4 GB |
Included Models
- AudioAssembler
- HubertForCTC