Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use ulichovick/vit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ulichovick/vit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ulichovick/vit_model") 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("ulichovick/vit_model") model = AutoModelForImageClassification.from_pretrained("ulichovick/vit_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
84ec46f
1
Parent(s): 6677d94
Model save
Browse files
runs/Aug25_03-37-33_2bc981b27c9d/events.out.tfevents.1692934697.2bc981b27c9d.24149.0
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