Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use johnnydevriese/vliegmachine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnnydevriese/vliegmachine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="johnnydevriese/vliegmachine") 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("johnnydevriese/vliegmachine") model = AutoModelForImageClassification.from_pretrained("johnnydevriese/vliegmachine") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a0468c466002d25e93e4922978d4f9dec32788d222d3e0b1732a156c37811c2
- Size of remote file:
- 343 MB
- SHA256:
- 6d0fa84d675fad8dd4c2519b6e3b1bae387b019a04bfbd5e1827f22fd0766f35
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