Instructions to use OpenVoiceOS/nvidia-be-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-be-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download encoder-model.int8.onnx from OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx: direct link, hf CLI and curl.
- Browser
- Download file 137 MB
-
https://huggingface.co/OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx/resolve/main/encoder-model.int8.onnx
- Command line
-
hf download hf://OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx/encoder-model.int8.onnx
-
curl -L -o encoder-model.int8.onnx https://huggingface.co/OpenVoiceOS/nvidia-be-conformer-transducer-large-onnx/resolve/main/encoder-model.int8.onnx
137 MB
- Xet hash:
- bede57f160b43cabc3e7c70a938fb979dc84193b445171fb62fcce77cdb7af16
- Size of remote file:
- 137 MB
- SHA256:
- 63d3d73f0c481b3054014f62943283ab13acc28b2097fbae87ca42628686920a
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