Image Classification
Transformers
PyTorch
TensorBoard
English
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use DunnBC22/vit-base-patch16-224-in21k-weather-images-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/vit-base-patch16-224-in21k-weather-images-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DunnBC22/vit-base-patch16-224-in21k-weather-images-classification") 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("DunnBC22/vit-base-patch16-224-in21k-weather-images-classification") model = AutoModelForImageClassification.from_pretrained("DunnBC22/vit-base-patch16-224-in21k-weather-images-classification") - Notebooks
- Google Colab
- Kaggle
All Dunn!!!
Browse files
all_results.json
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eval_results.json
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runs/Feb10_18-29-00_Brians-Mac-mini.local/events.out.tfevents.1676122260.Brians-Mac-mini.local.54890.2
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size 873
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train_results.json
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trainer_state.json
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