Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use johnnydevriese/vit-airplanes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnnydevriese/vit-airplanes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="johnnydevriese/vit-airplanes") 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("johnnydevriese/vit-airplanes") model = AutoModelForImageClassification.from_pretrained("johnnydevriese/vit-airplanes") - Notebooks
- Google Colab
- Kaggle
Commit ·
33eed3f
1
Parent(s): 3efe6d9
Model save
Browse files
runs/Apr08_16-44-55_e98349974501/events.out.tfevents.1649436346.e98349974501.72.0
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