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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Foxasdf
/
whisper-base-ar

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
ar-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Foxasdf/whisper-base-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Foxasdf/whisper-base-ar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Foxasdf/whisper-base-ar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Foxasdf/whisper-base-ar")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Foxasdf/whisper-base-ar")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-ar / runs
27.7 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
Foxasdf's picture
Foxasdf
Training in progress, step 1500
68691ba over 2 years ago
  • Dec31_11-06-27_fb9b9e52fc37
    Training in progress, step 1000 over 2 years ago
  • Jan02_12-18-37_2c38bf9c11f9
    Training in progress, step 1500 over 2 years ago