Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use hanslab37/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanslab37/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hanslab37/image_classification", device_map="auto") 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("hanslab37/image_classification") model = AutoModelForImageClassification.from_pretrained("hanslab37/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ccead6ce8e8d45f54ee49b8d9af1d93194cf8fa0f89cad2507c17ffee4a208fb
- Size of remote file:
- 343 MB
- SHA256:
- 6d08499e53939af0c449907c6f364493d77d407c8657247b58c587bb7ca8e383
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