Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Subhaaannn/image_classification12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhaaannn/image_classification12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Subhaaannn/image_classification12") 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("Subhaaannn/image_classification12") model = AutoModelForImageClassification.from_pretrained("Subhaaannn/image_classification12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cba339567669627bb7fbfb792be65e1d2f3d6932671fcd762518748e49aceff1
- Size of remote file:
- 4.6 kB
- SHA256:
- e17938e4a1ca0c30f6d2ae5a70fee74252f3c1b148a84b0466c7d9fa5eb25df1
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