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

Isma
/
test

Feature Extraction
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Isma/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Isma/test")
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("Isma/test")
    model = AutoModel.from_pretrained("Isma/test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test
755 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
c93b1c6 verified over 1 year ago
  • .gitattributes
    1.4 kB
    Adding `safetensors` variant of this model over 1 year ago
  • config.json
    1.94 kB
    add model about 4 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    378 MB
    xet
    add model about 4 years ago