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
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- **Model Sample Rate:** 16000 hz
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- **Language(s) (NLP):** Hindi (`hi`)
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- **License:** Apache-2.0
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- **Finetuned from model
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- **Model Sample Rate:** 16000 hz
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- **Language(s) (NLP):** Hindi (`hi`)
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- **License:** Apache-2.0
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- **Finetuned from model:** `nvidia/stt_en_fastconformer_hybrid_large_streaming_multi`
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