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nyadla-sys
/
whisper-tiny.en.tflite

Automatic Speech Recognition
Transformers
LiteRT
whisper
speech-recognition
on-device
android
Model card Files Files and versions
xet
Community
1

Instructions to use nyadla-sys/whisper-tiny.en.tflite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nyadla-sys/whisper-tiny.en.tflite with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nyadla-sys/whisper-tiny.en.tflite")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("nyadla-sys/whisper-tiny.en.tflite", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny.en.tflite
2.6 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
niruyadla's picture
niruyadla
Update README.md
9f27f91 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    477 Bytes
    Update README.md 3 months ago
  • dtln_quantized.tflite
    373 kB
    xet
    Upload dtln_quantized.tflite over 2 years ago
  • gemma_cpu.tflite
    2.52 GB
    xet
    Upload gemma_cpu.tflite about 2 years ago
  • whisper-tiny-en.tflite
    41.6 MB
    xet
    Upload whisper-tiny.en.tflite almost 3 years ago
  • whisper-with-timestamp-tiny-en.tflite
    42 MB
    xet
    Upload whisper-with-timestamp-tiny-en.tflite over 2 years ago