Instructions to use Rangan00/Sanskrit_STT_enhanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use Rangan00/Sanskrit_STT_enhanced with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("Rangan00/Sanskrit_STT_enhanced") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download Sanskrit_STT_enhanced.nemo from Rangan00/Sanskrit_STT_enhanced: direct link, hf CLI and curl.
- Browser
- Download file 523 MB
-
https://huggingface.co/Rangan00/Sanskrit_STT_enhanced/resolve/main/Sanskrit_STT_enhanced.nemo
- Command line
-
hf download hf://Rangan00/Sanskrit_STT_enhanced/Sanskrit_STT_enhanced.nemo
-
curl -L -o Sanskrit_STT_enhanced.nemo https://huggingface.co/Rangan00/Sanskrit_STT_enhanced/resolve/main/Sanskrit_STT_enhanced.nemo
523 MB
- Xet hash:
- 6668c84497e85e4d7b792919c9bc0587628ec30b0083ed5137b3dc02f71678f1
- Size of remote file:
- 523 MB
- SHA256:
- 238cb7c052baf44f8d86c6f3beaac1bd0dfb7be0109af94c4c161e9e1ce41fc1
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