Instructions to use cvmil/deit-base-patch16-224_augmented-v2_fft 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_fft 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_fft") 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_fft") model = AutoModelForImageClassification.from_pretrained("cvmil/deit-base-patch16-224_augmented-v2_fft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from cvmil/deit-base-patch16-224_augmented-v2_fft: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/cvmil/deit-base-patch16-224_augmented-v2_fft/resolve/main/training_args.bin
- Command line
-
hf download hf://cvmil/deit-base-patch16-224_augmented-v2_fft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/cvmil/deit-base-patch16-224_augmented-v2_fft/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 82b8f017cd878694d7eedd822e1fb075e759d57d2b81768a9bfcabac75b7350f
- Size of remote file:
- 5.5 kB
- SHA256:
- c9e36ec85b300475ee91a161abba743e4fc17692513e41666acb71b610791722
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