Instructions to use ThankGod/vit-base-aiornot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThankGod/vit-base-aiornot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ThankGod/vit-base-aiornot") 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("ThankGod/vit-base-aiornot") model = AutoModelForImageClassification.from_pretrained("ThankGod/vit-base-aiornot") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Mar18_21-30-56_252fe6dbfeb0/events.out.tfevents.1679175159.252fe6dbfeb0.177.0
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