Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlsr_maltese_wav2vec2_pipeline is a Maltese model originally trained by Akashpb13.
How to use
pipeline = PretrainedPipeline("xlsr_maltese_wav2vec2_pipeline", lang = "mt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlsr_maltese_wav2vec2_pipeline", lang = "mt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlsr_maltese_wav2vec2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mt |
| Size: | 1.2 GB |
References
https://huggingface.co/Akashpb13/xlsr_maltese_wav2vec2
Included Models
- AudioAssembler
- Wav2Vec2ForCTC