Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

DavidFM43
/
whisper-tiny-mind14

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use DavidFM43/whisper-tiny-mind14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DavidFM43/whisper-tiny-mind14 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DavidFM43/whisper-tiny-mind14")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("DavidFM43/whisper-tiny-mind14")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("DavidFM43/whisper-tiny-mind14")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-mind14 / runs
9.65 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
DavidFM43's picture
DavidFM43
End of training
7c2e2d2 almost 3 years ago
  • Jul21_23-16-23_1f7b59d31b57
    End of training almost 3 years ago