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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c9591c6bf7ab85f51178e7344cdae8fcab2ef0743aa538616f49481e7f09def
- Size of remote file:
- 94.3 MB
- SHA256:
- a14d95a8a87c145b3c3f0dd98ff778966159cf389f52f5156d590b396cf57591
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