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

BioMike
/
classical_portrait_vae

Image Feature Extraction
Transformers
image
image generation
vae
portrait
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use BioMike/classical_portrait_vae with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-feature-extraction", model="BioMike/classical_portrait_vae")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("BioMike/classical_portrait_vae", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
classical_portrait_vae
236 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
BioMike's picture
BioMike
Update README.md
45c8b0e verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    6.38 kB
    Update README.md almost 2 years ago
  • config.json
    26 Bytes
    Upload config.json almost 2 years ago
  • example.png
    323 kB
    Upload example.png almost 2 years ago
  • model_conv_vae_256_epoch_256.pth
    118 MB
    xet
    Upload 2 files almost 2 years ago
  • model_conv_vae_256_epoch_304.pth
    118 MB
    xet
    Upload model_conv_vae_256_epoch_304.pth almost 2 years ago