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syvai
/
hviske-v5.3

Automatic Speech Recognition
Transformers
Safetensors
Danish
cohere_asr
audio
speech-recognition
transcription
danish
hf-asr-leaderboard
custom_code
Model card Files Files and versions
xet
Community
4

Instructions to use syvai/hviske-v5.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use syvai/hviske-v5.3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="syvai/hviske-v5.3", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("syvai/hviske-v5.3", trust_remote_code=True)
    model = AutoModelForSpeechSeq2Seq.from_pretrained("syvai/hviske-v5.3", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

ONNX export for local inference (transcribe-rs / Handy)

#4 opened 25 days ago by
michaeldavidsen

Script for speaker-diarization & subtitle export

1
#3 opened about 1 month ago by
tintwotin

Working Example Code + Correct Transformers version.

👍 1
1
#2 opened about 1 month ago by
tintwotin
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