Description
Pretrained HubertForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hubert_large_ll60k_librispeech_multi_gpu_pipeline is a English model originally trained by r-sharma-coder.
How to use
pipeline = PretrainedPipeline("hubert_large_ll60k_librispeech_multi_gpu_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("hubert_large_ll60k_librispeech_multi_gpu_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | hubert_large_ll60k_librispeech_multi_gpu_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 2.4 GB |
References
https://huggingface.co/r-sharma-coder/hubert-large-ll60k-librispeech-multi-gpu
Included Models
- AudioAssembler
- HubertForCTC