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 pytorch_model.bin from Woleek/bg-classif: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Woleek/bg-classif/resolve/104f28624af969b28bbf72594de7d752c8545bf2/pytorch_model.bin
- Command line
-
hf download hf://Woleek/bg-classif@104f28624af969b28bbf72594de7d752c8545bf2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Woleek/bg-classif/resolve/104f28624af969b28bbf72594de7d752c8545bf2/pytorch_model.bin
343 MB
- Xet hash:
- 2eb8cb5fe6015681e0275171887e95871a3d78c1841139bb1d498c1f1aee0e51
- Size of remote file:
- 343 MB
- SHA256:
- ecf973856cc57db14758c3df45c75f913734fc524dbe970bde54e425009b7607
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