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
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Download README.md from Rangan00/Sanskrit_STT_enhanced: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
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https://huggingface.co/Rangan00/Sanskrit_STT_enhanced/resolve/main/README.md
- Command line
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hf download hf://Rangan00/Sanskrit_STT_enhanced/README.md
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curl -L -o README.md https://huggingface.co/Rangan00/Sanskrit_STT_enhanced/resolve/main/README.md
97 Bytes
| license: mit | |
| language: | |
| - sa | |
| library_name: nemo | |
| pipeline_tag: automatic-speech-recognition | |