Instructions to use OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download encoder-model.onnx_data from OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx: direct link, hf CLI and curl.
- Browser
- Download file 481 MB
-
https://huggingface.co/OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx/resolve/main/encoder-model.onnx_data
- Command line
-
hf download hf://OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx/encoder-model.onnx_data
-
curl -L -o encoder-model.onnx_data https://huggingface.co/OpenVoiceOS/nvidia-es-conformer-transducer-large-onnx/resolve/main/encoder-model.onnx_data
481 MB
- Xet hash:
- 9a59128c8c052ae924f053b2724f017b63cea07c21ecd0e58085248168c4a45c
- Size of remote file:
- 481 MB
- SHA256:
- a22889975d94961d73b8c10a9a4f17542fa1d272d31db5b2b8ef66f24e8b5958
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