Instructions to use OpenVoiceOS/ai4bharat-indicconformer-mr-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/ai4bharat-indicconformer-mr-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/ai4bharat-indicconformer-mr-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download model.onnx_data from OpenVoiceOS/ai4bharat-indicconformer-mr-onnx: direct link, hf CLI and curl.
- Browser
- Download file 481 MB
-
https://huggingface.co/OpenVoiceOS/ai4bharat-indicconformer-mr-onnx/resolve/main/model.onnx_data
- Command line
-
hf download hf://OpenVoiceOS/ai4bharat-indicconformer-mr-onnx/model.onnx_data
-
curl -L -o model.onnx_data https://huggingface.co/OpenVoiceOS/ai4bharat-indicconformer-mr-onnx/resolve/main/model.onnx_data
481 MB
- Xet hash:
- c8d97c74bd3dcd47ff44fdbdb02a925756eb3c6a076384df6d80e5dad5975300
- Size of remote file:
- 481 MB
- SHA256:
- cf1608bcb39e99d388f12e777e549ae3a92b1176cac416dd805c8f661e7395fa
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