Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-55-fold3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-55-fold3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-55-fold3") 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-patch16-224-55-fold3") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-55-fold3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bffee00c2b0a4036a2ba144f0ecd341a0e34191195cd00eced26d0299352025b
- Size of remote file:
- 5.05 kB
- SHA256:
- c427237435a2881d0604047069339f6724e38113c68bb9d540950658af90e619
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