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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- pytorch_model.bin +1 -1
- runs/Aug16_12-12-49_surveily-ag-02/events.out.tfevents.1692180872.surveily-ag-02.5572.3 +3 -0
- runs/Aug16_13-00-22_surveily-ag-02/events.out.tfevents.1692183626.surveily-ag-02.3986.0 +3 -0
- runs/Aug16_13-01-44_surveily-ag-02/events.out.tfevents.1692183706.surveily-ag-02.3986.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +152 -83
- training_args.bin +1 -1
all_results.json
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