Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arabic_speech_result_pipeline is a Arabic model originally trained by Ibrhm-S.
How to use
pipeline = PretrainedPipeline("arabic_speech_result_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arabic_speech_result_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arabic_speech_result_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 1.7 GB |
References
https://huggingface.co/Ibrhm-S/arabic-speech-result
Included Models
- AudioAssembler
- WhisperForCTC