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

jadechoghari
/
robustsam-vit-base

Mask Generation
Transformers
Safetensors
sam
Model card Files Files and versions
xet
Community

Instructions to use jadechoghari/robustsam-vit-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jadechoghari/robustsam-vit-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("mask-generation", model="jadechoghari/robustsam-vit-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMaskGeneration
    
    processor = AutoProcessor.from_pretrained("jadechoghari/robustsam-vit-base")
    model = AutoModelForMaskGeneration.from_pretrained("jadechoghari/robustsam-vit-base")
  • Notebooks
  • Google Colab
  • Kaggle
robustsam-vit-base
392 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
jadechoghari's picture
jadechoghari
Update README.md
2550b3d verified over 1 year ago
  • figures
    add demo asset over 1 year ago
  • .gitattributes
    2.02 kB
    add demo asset over 1 year ago
  • README.md
    7.21 kB
    Update README.md over 1 year ago
  • config.json
    6.57 kB
    Update config.json over 1 year ago
  • model.safetensors
    375 MB
    xet
    add robustsam base over 1 year ago
  • preprocessor_config.json
    574 Bytes
    add robustsam base over 1 year ago