Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_xlsr_dendi_ddn_for_numerals_pipeline is a English model originally trained by ssid32.
How to use
pipeline = PretrainedPipeline("wav2vec2_xlsr_dendi_ddn_for_numerals_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_xlsr_dendi_ddn_for_numerals_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_xlsr_dendi_ddn_for_numerals_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.2 GB |
References
https://huggingface.co/ssid32/wav2vec2-xlsr-dendi-ddn-for-numerals
Included Models
- AudioAssembler
- Wav2Vec2ForCTC