Instructions to use devboop/vit-base-patch16-224-cl-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devboop/vit-base-patch16-224-cl-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="devboop/vit-base-patch16-224-cl-v1") 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("devboop/vit-base-patch16-224-cl-v1") model = AutoModelForImageClassification.from_pretrained("devboop/vit-base-patch16-224-cl-v1") - Notebooks
- Google Colab
- Kaggle
Ella Granger commited on
Commit ·
8909d66
1
Parent(s): 4a80bed
Training in progress, epoch 1
Browse files
pytorch_model.bin
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