Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Subhaaannn/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhaaannn/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Subhaaannn/image_classification") 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_classification") model = AutoModelForImageClassification.from_pretrained("Subhaaannn/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a93c1dedddd9a0465dbb37cc585be4f8304c7a8d1e10949487937bbc0e28331b
- Size of remote file:
- 4.6 kB
- SHA256:
- 829ff1fc61a583b90c65aa82c78ae63f33b503a0c7c061f4e3ab4b363884141c
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