Instructions to use robertsw/dino_base_H100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robertsw/dino_base_H100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="robertsw/dino_base_H100") 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_H100") model = AutoModelForImageClassification.from_pretrained("robertsw/dino_base_H100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 336c66a25a4260e7e2c89e1a2a1bc0f87ef4d4bd6822cd41ce181c67edaada16
- Size of remote file:
- 5.05 kB
- SHA256:
- b3da53506bafb54de173508213af54b3ff9818eff9d76ff19f42511da1e4b904
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