Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.asr_whisper_small_nepali_np_pipeline
is a Nepali (macrolanguage) model originally trained by julie200.
This model is only compatible with PySpark 3.4 and above
How to use
pipeline = PretrainedPipeline('asr_whisper_small_nepali_np_pipeline', lang = 'ne')
annotations = pipeline.transform(audioDF)
val pipeline = new PretrainedPipeline('asr_whisper_small_nepali_np_pipeline', lang = 'ne')
val annotations = pipeline.transform(audioDF)
Model Information
Model Name: | asr_whisper_small_nepali_np_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.1.4+ |
License: | Open Source |
Edition: | Official |
Language: | ne |
Size: | 1.7 GB |
References
https://huggingface.co/julie200/whisper-small-ne-np
Included Models
- AudioAssembler
- WhisperForCTC