Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use itsTomLie/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsTomLie/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="itsTomLie/image_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("itsTomLie/image_classification") model = AutoModelForImageClassification.from_pretrained("itsTomLie/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from itsTomLie/image_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/itsTomLie/image_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://itsTomLie/image_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/itsTomLie/image_classification/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 9b87f44f2dce10f11d66c2a4a32fcc75e397e87c1246a79ec50fcc20584512b7
- Size of remote file:
- 5.24 kB
- SHA256:
- e8df9cd8155dea81b623565284825d94c5c37d796528f7e69bd814fe3594a027
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