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

devkyle
/
whisper-small-dp-v4

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

Instructions to use devkyle/whisper-small-dp-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkyle/whisper-small-dp-v4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-small-dp-v4")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkyle/whisper-small-dp-v4")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-small-dp-v4")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-dp-v4 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
devkyle's picture
devkyle
Training in progress, step 2000
a2a0a93 verified over 1 year ago
  • Sep18_11-36-27_7070f018d58c
    Training in progress, step 2000 over 1 year ago