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Rimiru
/
tech-recog

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use Rimiru/tech-recog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rimiru/tech-recog with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("image-classification", model="Rimiru/tech-recog")
    pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
    # Load model directly
    from transformers import AutoImageProcessor, AutoModelForImageClassification
    
    processor = AutoImageProcessor.from_pretrained("Rimiru/tech-recog")
    model = AutoModelForImageClassification.from_pretrained("Rimiru/tech-recog")
  • Notebooks
  • Google Colab
  • Kaggle
tech-recog / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Rimiru's picture
Rimiru
commit files to HF hub
f8b2c0b over 3 years ago
  • events.out.tfevents.1673513455.9532468ed571
    1.44 kB
    xet
    commit files to HF hub over 3 years ago