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