Instructions to use erayyapagci/balbal-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use erayyapagci/balbal-v1 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("erayyapagci/balbal-v1") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit History
9 days ago
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Rename MihuAI turkish-stt-66m-v2 -> turkish-stt-v2; drop omniASR CTC 300M from the accuracy chart
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Plots: + MihuAI turkish-stt-66m-v2
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10 days ago
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Model card: efficiency summary, size/speed charts, bootstrap CIs, commercial API table, CPU thread scaling
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