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:
- 5785f448e8a880673331b18d11cb85e6670532dba5354be2c52311a90e50358c
- Size of remote file:
- 343 MB
- SHA256:
- f046fb50ab6899fd29b6bdc5e2e15ac8a7ed9e42a484522e825e22a83fda55d1
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