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:
- 35245db309ef22bcda1c6661c0ef4bb19af42b92c36b8461c5bdfb5c415e87ee
- Size of remote file:
- 1.21 GB
- SHA256:
- b4aa91ae1e31f3b8000758b1280d180106b48d6deae1aae73f5d381543ddbf87
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