Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-65-fold2 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-fold2 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-fold2") 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-fold2") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-65-fold2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25a2063ca0e8803335c6da017a0c27aeecbfe6b8127e639e882c5570a7c0ad48
- Size of remote file:
- 5.05 kB
- SHA256:
- 74a3c8ba25e34b49701294d752947900a7a5b6a96a7c1768dab01d4fb05b0f4b
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