Instructions to use nqvii/deit_fold_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nqvii/deit_fold_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nqvii/deit_fold_4") 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("nqvii/deit_fold_4") model = AutoModelForImageClassification.from_pretrained("nqvii/deit_fold_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b81ce18992421a4b5ca65767a202132b8de0ffe6893660c957ac77d0073019a
- Size of remote file:
- 5.2 kB
- SHA256:
- 60994d8318d49123612744ed981c97429d21b2b06cc5a3a6abb1dbea6d69ab46
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