Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.whisper_tiny_hebrew_modern_2_pipeline
is a Hebrew model originally trained by NS-Y.
How to use
pipeline = PretrainedPipeline("whisper_tiny_hebrew_modern_2_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("whisper_tiny_hebrew_modern_2_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
Model Name: | whisper_tiny_hebrew_modern_2_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | he |
Size: | 242.9 MB |
References
https://huggingface.co/NS-Y/whisper-tiny-he-2
Included Models
- AudioAssembler
- WhisperForCTC