Instructions to use cvmil/deit-base-patch16-224_augmented-v2_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvmil/deit-base-patch16-224_augmented-v2_tl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cvmil/deit-base-patch16-224_augmented-v2_tl") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("cvmil/deit-base-patch16-224_augmented-v2_tl") model = AutoModelForImageClassification.from_pretrained("cvmil/deit-base-patch16-224_augmented-v2_tl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cvmil/deit-base-patch16-224_augmented-v2_tl: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/cvmil/deit-base-patch16-224_augmented-v2_tl/resolve/main/training_args.bin
- Command line
-
hf download hf://cvmil/deit-base-patch16-224_augmented-v2_tl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cvmil/deit-base-patch16-224_augmented-v2_tl/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 96581b98ba9dbecb609c50ab22adce5a063a83659ad9722c98e5cc92dd3c0996
- Size of remote file:
- 5.5 kB
- SHA256:
- 5629997e92aeefc240871b3f744ed1876694f2d4685b25f8a0990a9e3f5ac6c3
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