Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Woleek/bg-classif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Woleek/bg-classif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Woleek/bg-classif") 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("Woleek/bg-classif") model = AutoModelForImageClassification.from_pretrained("Woleek/bg-classif", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Woleek/bg-classif: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Woleek/bg-classif/resolve/104f28624af969b28bbf72594de7d752c8545bf2/training_args.bin
- Command line
-
hf download hf://Woleek/bg-classif@104f28624af969b28bbf72594de7d752c8545bf2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Woleek/bg-classif/resolve/104f28624af969b28bbf72594de7d752c8545bf2/training_args.bin
3.96 kB
- Xet hash:
- d71fa91280aed07b804d5a37684e555a26006247dd90aca99ff8a94b48d2063c
- Size of remote file:
- 3.96 kB
- SHA256:
- e5a7444871ccfb3c61a6a37bb117b483095c240103b17ea642d8889548d76bc4
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