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

Saiteja
/
segformer-model

Transformers
PyTorch
segformer
Model card Files Files and versions
xet
Community
1

Instructions to use Saiteja/segformer-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Saiteja/segformer-model with Transformers:

    # Load model directly
    from transformers import AutoImageProcessor, SegformerForSemanticSegmentation
    
    processor = AutoImageProcessor.from_pretrained("Saiteja/segformer-model")
    model = SegformerForSemanticSegmentation.from_pretrained("Saiteja/segformer-model")
  • Notebooks
  • Google Colab
  • Kaggle
segformer-model
29.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
8a5fad8 verified 5 months ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.26 kB
    manual uplaoded about 3 years ago
  • model.safetensors
    14.9 MB
    xet
    Adding `safetensors` variant of this model 5 months ago
  • preprocessor_config.json
    430 Bytes
    manual uplaoded about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    14.9 MB
    xet
    manual uplaoded about 3 years ago