Automatic Speech Recognition
NeMo
Safetensors
PyTorch
English
speech
audio
Transformer
FastConformer
Conformer
NeMo
Qwen
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use nvidia/canary-qwen-2.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use nvidia/canary-qwen-2.5b with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/canary-qwen-2.5b") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from nvidia/canary-qwen-2.5b: direct link, hf CLI and curl.
- Browser
- Download file 5.12 GB
-
https://huggingface.co/nvidia/canary-qwen-2.5b/resolve/main/model.safetensors
- Command line
-
hf download hf://nvidia/canary-qwen-2.5b/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/nvidia/canary-qwen-2.5b/resolve/main/model.safetensors
5.12 GB
- Xet hash:
- d207d01e7739676b01f1c000c4d0fecac8f950db10649d87285a325c8f264612
- Size of remote file:
- 5.12 GB
- SHA256:
- 800cb0d099cf655a8887d8b741c3a4afa9891e2b2949870251c4d58c72b59175
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