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espnet
/
xeus

Automatic Speech Recognition
ESPnet
ELM
JAX
MLX
audio
speech
Model card Files Files and versions
xet
Community
9

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

  • Libraries
  • ESPnet

    How to use espnet/xeus with ESPnet:

    from espnet2.bin.asr_inference import Speech2Text
    
    model = Speech2Text.from_pretrained(
      "espnet/xeus"
    )
    
    speech, rate = soundfile.read("speech.wav")
    text, *_ = model(speech)[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
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  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TypeError: CNNFrontend.__init__() got an unexpected keyword argument 'normalize_output'

➕ 3
1
#9 opened 7 months ago by
alvynabranches

best layer for acoustic and speech syntesys

1
#7 opened almost 2 years ago by
acul3

__init__() got an unexpected keyword argument 's2t_train_config'

6
#6 opened almost 2 years ago by
jameshuntercarter

Benchmark against Whisper

2
#3 opened almost 2 years ago by
hokyjack

Gradio Demo

2
#2 opened almost 2 years ago by
allandclive

build_model_from_file error

2
#1 opened almost 2 years ago by
licheng01
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