Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.casper_pipeline
is a Catalan, Valencian model originally trained by MaximilianChen.
How to use
pipeline = PretrainedPipeline("casper_pipeline", lang = "ca")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("casper_pipeline", lang = "ca")
val annotations = pipeline.transform(df)
Model Information
Model Name: | casper_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | ca |
Size: | 1.7 GB |
References
https://huggingface.co/MaximilianChen/Casper
Included Models
- AudioAssembler
- WhisperForCTC