Description
Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.saad_speech_recognition_hausa_audio_tonga_tonga_islands_text_pipeline is a Hausa model originally trained by Baghdad99.
How to use
pipeline = PretrainedPipeline("saad_speech_recognition_hausa_audio_tonga_tonga_islands_text_pipeline", lang = "ha")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("saad_speech_recognition_hausa_audio_tonga_tonga_islands_text_pipeline", lang = "ha")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | saad_speech_recognition_hausa_audio_tonga_tonga_islands_text_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ha |
| Size: | 1.7 GB |
References
https://huggingface.co/Baghdad99/saad-speech-recognition-hausa-audio-to-text
Included Models
- AudioAssembler
- WhisperForCTC