Instructions to use robertsw/dino_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robertsw/dino_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="robertsw/dino_base") 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("robertsw/dino_base") model = AutoModelForImageClassification.from_pretrained("robertsw/dino_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 126c6d2cc1a55cc8f1f1f7c0a8ee628ecd0a95475698bc94cab3d97c935d672f
- Size of remote file:
- 5.11 kB
- SHA256:
- 51fb718bb293e99065b64a3cbeea295c04a8afb3f261a75da0370d2927620a05
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