Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-hasta-55-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-hasta-55-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-hasta-55-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-hasta-55-fold1") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-hasta-55-fold1") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
fc007d0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:31b536f0f67feceba447821023fd51ab72c88bea356d8eb9dc5f7dcdbbbc8ab8
size 5176
|