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nvidia
/
canary-1b-v2

Automatic Speech Recognition
NeMo
PyTorch
automatic-speech-translation
speech
audio
Transformer
FastConformer
Conformer
NeMo
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
27

Instructions to use nvidia/canary-1b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • NeMo

    How to use nvidia/canary-1b-v2 with NeMo:

    import nemo.collections.asr as nemo_asr
    asr_model = nemo_asr.models.ASRModel.from_pretrained("nvidia/canary-1b-v2")
    
    transcriptions = asr_model.transcribe(["file.wav"])
  • Notebooks
  • Google Colab
  • Kaggle
canary-1b-v2
10.3 GB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 27 commits
harshaljanjani's picture
harshaljanjani
Update training example to use output_labels
866e8c1 verified 3 days ago
  • plots
    update en_x.png 11 months ago
  • .gitattributes
    1.62 kB
    update readme and add plots 12 months ago
  • README.md
    72.4 kB
    Update training example to use output_labels 3 days ago
  • canary-1b-v2.nemo
    6.36 GB
    xet
    update .nemo 12 months ago
  • chat_template.jinja
    534 Bytes
    Upload processor 22 days ago
  • config.json
    1.59 kB
    Update decoder state dict with CohereAsrDecoder layout 3 days ago
  • generation_config.json
    252 Bytes
    Upload CanaryForConditionalGeneration 22 days ago
  • model.safetensors
    3.92 GB
    xet
    Update decoder state dict with CohereAsrDecoder layout 3 days ago
  • processor_config.json
    362 Bytes
    Upload processor 22 days ago
  • tokenizer.json
    2.19 MB
    Upload processor 22 days ago
  • tokenizer_config.json
    328 Bytes
    Upload processor 22 days ago