Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.vakyansh_wav2vec2_indian_english_enm_700_harveenchadha_pipeline is a English model originally trained by Harveenchadha.
How to use
pipeline = PretrainedPipeline("vakyansh_wav2vec2_indian_english_enm_700_harveenchadha_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("vakyansh_wav2vec2_indian_english_enm_700_harveenchadha_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | vakyansh_wav2vec2_indian_english_enm_700_harveenchadha_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 233.4 MB |
References
https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-indian-english-enm-700
Included Models
- AudioAssembler
- Wav2Vec2ForCTC