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")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Woleek/bg-classif") model = AutoModelForImageClassification.from_pretrained("Woleek/bg-classif") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
pytorch_model.bin
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runs/Aug16_11-32-01_surveily-ag-02/events.out.tfevents.1692178492.surveily-ag-02.4189.1
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