Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use griffio/vit-large-patch16-224-dungeon-geo-morphs-009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use griffio/vit-large-patch16-224-dungeon-geo-morphs-009 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="griffio/vit-large-patch16-224-dungeon-geo-morphs-009") 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("griffio/vit-large-patch16-224-dungeon-geo-morphs-009") model = AutoModelForImageClassification.from_pretrained("griffio/vit-large-patch16-224-dungeon-geo-morphs-009") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05fd55fde16064a0dbb44896cbec3ea8d328335f945d8a298d1b9cfc371364c1
- Size of remote file:
- 5.37 kB
- SHA256:
- 5272045169bc221b007e2b8deaf2623f0717ee2755a95d895f02735b47c30bba
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