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espnet
/
owls_4B_180K

Automatic Speech Recognition
ESPnet
multilingual
audio
speech-translation
Model card Files Files and versions
xet
Community

Instructions to use espnet/owls_4B_180K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • ESPnet

    How to use espnet/owls_4B_180K with ESPnet:

    from espnet2.bin.asr_inference import Speech2Text
    
    model = Speech2Text.from_pretrained(
      "espnet/owls_4B_180K"
    )
    
    speech, rate = soundfile.read("speech.wav")
    text, *_ = model(speech)[0]
  • Notebooks
  • Google Colab
  • Kaggle
owls_4B_180K
9.31 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 20 commits
wanchichen's picture
wanchichen
Update README.md
5d252b5 verified about 1 year ago
  • data
    Upload folder using huggingface_hub about 1 year ago
  • exp_owsm
    Upload exp_owsm/s2t_stats_raw_bpe50000/train/feats_stats.npz with huggingface_hub about 1 year ago
  • .gitattributes
    1.63 kB
    Rename owl-wavlab.png to owl-wavlab-nvidia.png about 1 year ago
  • README.md
    2.93 kB
    Update README.md about 1 year ago
  • meta.yaml
    329 Bytes
    Create meta.yaml about 1 year ago
  • owl-wavlab-nvidia.png
    140 kB
    xet
    Rename owl-wavlab.png to owl-wavlab-nvidia.png about 1 year ago