Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/camera-type with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/camera-type with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/camera-type") 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("Woleek/camera-type") model = AutoModelForImageClassification.from_pretrained("Woleek/camera-type", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8bf13e6fbcc2c7ece768ec396e8d194533ae1292dfaab7eee9d03419a008fbc
- Size of remote file:
- 343 MB
- SHA256:
- 0f08f982457e6439b186bdfc348d2dfb628622d88fff5726edac29e43ba7f0a3
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