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

AlexMo
/
improved_whisper_model

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

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

  • Libraries
  • Transformers

    How to use AlexMo/improved_whisper_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="AlexMo/improved_whisper_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("AlexMo/improved_whisper_model")
    model = AutoModelForMultimodalLM.from_pretrained("AlexMo/improved_whisper_model")
  • Notebooks
  • Google Colab
  • Kaggle
improved_whisper_model / runs
76.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AlexMo's picture
AlexMo
Upload 20 files
8fc4282 over 3 years ago
  • Dec07_22-23-00_5c774a6bcdd1
    Upload 20 files over 3 years ago
  • Dec08_09-40-53_c468c9919692
    Upload 20 files over 3 years ago
  • Dec08_15-17-23_9f3a24a4fa02
    Upload 20 files over 3 years ago
  • Dec08_23-41-47_91b245c15088
    Upload 20 files over 3 years ago