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amitkot
/
whisper-tiny-he-acft

Automatic Speech Recognition
Transformers
Safetensors
Hebrew
whisper
audio
hebrew
acft
futo-keyboard
Model card Files Files and versions
xet
Community

Instructions to use amitkot/whisper-tiny-he-acft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amitkot/whisper-tiny-he-acft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="amitkot/whisper-tiny-he-acft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("amitkot/whisper-tiny-he-acft")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkot/whisper-tiny-he-acft")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-he-acft
156 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
amitkot's picture
amitkot
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    2.03 kB
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  • added_tokens.json
    2 Bytes
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  • config.json
    1.3 kB
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  • generation_config.json
    4.45 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    151 MB
    xet
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  • processor_config.json
    409 Bytes
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.08 kB
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  • training_state.pt
    14.4 kB
    xet
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  • vocab.json
    936 kB
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