Description
Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.norwegian_bokml_whisper_tiny_nbailab
is a Norwegian model originally trained by NbAiLab.
How to use
audioAssembler = AudioAssembler() \
.setInputCol("audio_content") \
.setOutputCol("audio_assembler")
speechToText = WhisperForCTC.pretrained("norwegian_bokml_whisper_tiny_nbailab","no") \
.setInputCols(["audio_assembler"]) \
.setOutputCol("text")
pipeline = Pipeline().setStages([audioAssembler, speechToText])
pipelineModel = pipeline.fit(data)
pipelineDF = pipelineModel.transform(data)
val audioAssembler = new DocumentAssembler()
.setInputCols("audio_content")
.setOutputCols("audio_assembler")
val speechToText = WhisperForCTC.pretrained("norwegian_bokml_whisper_tiny_nbailab", "no")
.setInputCols(Array("audio_assembler"))
.setOutputCol("text")
val pipeline = new Pipeline().setStages(Array(documentAssembler, speechToText))
val pipelineModel = pipeline.fit(data)
val pipelineDF = pipelineModel.transform(data)
Model Information
Model Name: | norwegian_bokml_whisper_tiny_nbailab |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [audio_assembler] |
Output Labels: | [text] |
Language: | no |
Size: | 384.2 MB |
References
https://huggingface.co/NbAiLab/nb-whisper-tiny