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

M4A1TasteGood
/
finetune-instance-segmentation-ade20k-mini-mask2former

Transformers
TensorBoard
Safetensors
mask2former
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use M4A1TasteGood/finetune-instance-segmentation-ade20k-mini-mask2former with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use M4A1TasteGood/finetune-instance-segmentation-ade20k-mini-mask2former with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, Mask2FormerForUniversalSegmentation
    
    processor = AutoImageProcessor.from_pretrained("M4A1TasteGood/finetune-instance-segmentation-ade20k-mini-mask2former")
    model = Mask2FormerForUniversalSegmentation.from_pretrained("M4A1TasteGood/finetune-instance-segmentation-ade20k-mini-mask2former")
  • Notebooks
  • Google Colab
  • Kaggle
finetune-instance-segmentation-ade20k-mini-mask2former / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
M4A1TasteGood's picture
M4A1TasteGood
Model save
e396a89 verified over 1 year ago
  • Nov13_13-30-24_ps
    Model save over 1 year ago