Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-65-fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-65-fold1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-65-fold1") 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("BilalMuftuoglu/beit-base-patch16-224-65-fold1") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-65-fold1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26a0a181b93bcda2f843fa2f7a0cbe4f6180291c30bc5fba6210ef265d6ee261
- Size of remote file:
- 5.05 kB
- SHA256:
- 63914900fff14adfaf83b4dac2850a1f3bf2f6e761790a9091479775c4bfa0c8
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