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Arnold145
/
whisper_extended

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

Instructions to use Arnold145/whisper_extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Arnold145/whisper_extended with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Arnold145/whisper_extended")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Arnold145/whisper_extended")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Arnold145/whisper_extended", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper_extended
570 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Arnold145's picture
Arnold145
Upload tokenizer
b888db3 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • config.json
    2.34 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • generation_config.json
    4.28 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • model.safetensors
    566 MB
    xet
    Upload WhisperForConditionalGeneration about 1 month ago
  • preprocessor_config.json
    329 Bytes
    Upload feature extractor about 1 month ago
  • processor_config.json
    426 Bytes
    Upload processor about 1 month ago
  • tokenizer.json
    4 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    2.26 kB
    Upload tokenizer about 1 month ago