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

minchul
/
cvlface_adaface_vit_base_webface4m

Feature Extraction
Transformers
Safetensors
English
custom_code
Model card Files Files and versions
xet
Community

Instructions to use minchul/cvlface_adaface_vit_base_webface4m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use minchul/cvlface_adaface_vit_base_webface4m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="minchul/cvlface_adaface_vit_base_webface4m", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("minchul/cvlface_adaface_vit_base_webface4m", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
cvlface_adaface_vit_base_webface4m / models /vit
12.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
minchul's picture
minchul
Upload directory
f2c1163 verified almost 2 years ago
  • configs
    Upload directory almost 2 years ago
  • __init__.py
    2.51 kB
    Upload directory almost 2 years ago
  • vit.py
    10.1 kB
    Upload directory almost 2 years ago