Instructions to use OpenVoiceOS/nvidia-rw-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-rw-conformer-ctc-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-rw-conformer-ctc-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download config.json from OpenVoiceOS/nvidia-rw-conformer-ctc-large-onnx: direct link, hf CLI and curl.
- Browser
- Download file 119 Bytes
-
https://huggingface.co/OpenVoiceOS/nvidia-rw-conformer-ctc-large-onnx/resolve/main/config.json
- Command line
-
hf download hf://OpenVoiceOS/nvidia-rw-conformer-ctc-large-onnx/config.json
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curl -L -o config.json https://huggingface.co/OpenVoiceOS/nvidia-rw-conformer-ctc-large-onnx/resolve/main/config.json
119 Bytes
| { | |
| "model_type": "nemo-conformer-ctc", | |
| "features_size": 80, | |
| "subsampling_factor": 4, | |
| "max_tokens_per_step": 10 | |
| } |