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

snolyai
/
resultsfinal

Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use snolyai/resultsfinal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="snolyai/resultsfinal")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("snolyai/resultsfinal")
    model = AutoModelForAudioClassification.from_pretrained("snolyai/resultsfinal")
  • Notebooks
  • Google Colab
  • Kaggle
resultsfinal / runs
46 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
snolyai's picture
snolyai
End of training
79f88d3 almost 3 years ago
  • Jul13_21-46-48_517e5fdd78c0
    Training in progress, epoch 1 almost 3 years ago
  • Jul13_21-54-58_517e5fdd78c0
    Training in progress, epoch 1 almost 3 years ago
  • Jul13_22-44-47_c2f3ef2af59c
    Training in progress, epoch 1 almost 3 years ago
  • Jul13_22-59-34_c2f3ef2af59c
    End of training almost 3 years ago