Instructions to use mobilebytesensei/betterflow-indicconformer-ctc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use mobilebytesensei/betterflow-indicconformer-ctc with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("mobilebytesensei/betterflow-indicconformer-ctc") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Commit History
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add IndicConformer Hindi -- median 17.2 on vaani-bench-hi n=200, beats both shipped whisper bundles
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add IndicConformer Hindi -- median 17.2 on vaani-bench-hi n=200, beats both shipped whisper bundles
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correct peak RSS: it scales with utterance length, not a constant
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kn: IndicConformer CTC int8 from first-party AI4Bharat MIT weights
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ta: IndicConformer CTC int8 from first-party AI4Bharat MIT weights
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ml: IndicConformer CTC int8 from first-party AI4Bharat MIT weights
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gu: IndicConformer CTC int8 from first-party AI4Bharat MIT weights
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model card
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initial commit
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