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:
- 3b476f6c35d4128428c279079ed9cbdf13760ea169995cee0255615649fe8351
- Size of remote file:
- 343 MB
- SHA256:
- 97c4ce05805a6f7db78bde35bbdc512c0858fdde7f1e96f999ae2c3fb56d644c
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