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danielrosehill
/
daniel_whisper_finetune_tiny_v2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use danielrosehill/daniel_whisper_finetune_tiny_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danielrosehill/daniel_whisper_finetune_tiny_v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="danielrosehill/daniel_whisper_finetune_tiny_v2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("danielrosehill/daniel_whisper_finetune_tiny_v2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("danielrosehill/daniel_whisper_finetune_tiny_v2")
  • Notebooks
  • Google Colab
  • Kaggle
daniel_whisper_finetune_tiny_v2 / converted /ctranslate2
76.6 MB
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  • 1 contributor
History: 1 commit
danielrosehill's picture
danielrosehill
Add CTranslate2 converted format and update README
b315bf7 6 months ago
  • config.json
    2.25 kB
    Add CTranslate2 converted format and update README 6 months ago
  • model.bin
    75.5 MB
    xet
    Add CTranslate2 converted format and update README 6 months ago
  • vocabulary.json
    1.07 MB
    Add CTranslate2 converted format and update README 6 months ago