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