Instructions to use facebook/deit-base-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/deit-base-patch16-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/deit-base-patch16-384") 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("facebook/deit-base-patch16-384") model = AutoModelForImageClassification.from_pretrained("facebook/deit-base-patch16-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2caf4b9eefdb620ad5c17b8e3d41fafedd6f24f87bf154db1b1f95393182202e
- Size of remote file:
- 348 MB
- SHA256:
- 61cc334122852d6aba5e417412fe5f835e451b5bbad84989252d49ec5f51ae00
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