Description
Pretrained Wav2Vec2ForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wav2vec2_xls_r_300m_36_tokens_with_lm_spanish_pipeline is a Castilian, Spanish model originally trained by edugp.
How to use
pipeline = PretrainedPipeline("wav2vec2_xls_r_300m_36_tokens_with_lm_spanish_pipeline", lang = "es")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wav2vec2_xls_r_300m_36_tokens_with_lm_spanish_pipeline", lang = "es")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | wav2vec2_xls_r_300m_36_tokens_with_lm_spanish_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
| Size: | 1.2 GB |
References
https://huggingface.co/edugp/wav2vec2-xls-r-300m-36-tokens-with-lm-es
Included Models
- AudioAssembler
- Wav2Vec2ForCTC