Instructions to use OpenVoiceOS/nvidia-eo-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-eo-conformer-ctc-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-eo-conformer-ctc-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f9dbf73a91fc8c2c3ab1b017fc624fa67a9fc03bb4788b24add88ae80f78f15
- Size of remote file:
- 506 MB
- SHA256:
- 1a2937c0a4deb7f1725bdc1e139527cf606bc310943663697c042e0837ad23f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.