Instructions to use salesken/Hindi-FastConformer-Streaming-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use salesken/Hindi-FastConformer-Streaming-ASR with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("salesken/Hindi-FastConformer-Streaming-ASR") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Add Vaani-Benchmark-V1.0 eval results
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by PranavdbhatArtpark - opened
.eval_results/ARTPARK-IISc-Vaani-Benchmark-V1-0.yaml
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- dataset:
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id: ARTPARK-IISc/Vaani-Benchmark-V1.0
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task_id: Hindi_WER
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date: '2026-07-29'
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value: 27.6
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