Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_base_google_fleurs_portuguese_breton_pipeline is a English model originally trained by thiagobarbosa.
How to use
pipeline = PretrainedPipeline("whisper_base_google_fleurs_portuguese_breton_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_base_google_fleurs_portuguese_breton_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | whisper_base_google_fleurs_portuguese_breton_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 642.3 MB |
References
https://huggingface.co/thiagobarbosa/whisper-base-google-fleurs-pt-br
Included Models
- AudioAssembler
- WhisperForCTC