Instructions to use OpenVoiceOS/nvidia-it-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-it-conformer-transducer-large-onnx with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download decoder_joint-model.onnx_data from OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx: direct link, hf CLI and curl.
- Browser
- Download file 21.3 MB
-
https://huggingface.co/OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx/resolve/main/decoder_joint-model.onnx_data
- Command line
-
hf download hf://OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx/decoder_joint-model.onnx_data
-
curl -L -o decoder_joint-model.onnx_data https://huggingface.co/OpenVoiceOS/nvidia-it-conformer-transducer-large-onnx/resolve/main/decoder_joint-model.onnx_data
21.3 MB
- Xet hash:
- 7754f57c8c247b9d9f66db0c5dba11bdff48676a1ac579c41068f7e395d0c109
- Size of remote file:
- 21.3 MB
- SHA256:
- 0b7f86b52aba9873906d8bbfa848544626aa59a0779885d035ba5074a88a504a
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