Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-85-fold2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-85-fold2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-85-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-patch16-224-85-fold2") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-85-fold2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b9122dcb76a7cfc21e4fd25e4ba82a56e188706f18478243cc880b2668f2269
- Size of remote file:
- 5.05 kB
- SHA256:
- 5c04bcd807d1594cdaf5716ea8167ef0a5253f01736003769261b01b5e87e600
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