Instructions to use OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download model.onnx from OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx: direct link, hf CLI and curl.
- Browser
- Download file 647 kB
-
https://huggingface.co/OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx/resolve/main/model.onnx
- Command line
-
hf download hf://OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx/model.onnx
-
curl -L -o model.onnx https://huggingface.co/OpenVoiceOS/nvidia-be-conformer-ctc-large-onnx/resolve/main/model.onnx
647 kB
- Xet hash:
- a0e6a2fe5b1b55acf30460a1f64bb7a6f4e725d7ba73a233c7f400a35358c8ba
- Size of remote file:
- 647 kB
- SHA256:
- 65cee4746c94e075c0bf331ec61553467cbad815ed363f8ba0fb4aab85934859
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