Instructions to use BeckerAnas/deft-glitter-211 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BeckerAnas/deft-glitter-211 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BeckerAnas/deft-glitter-211") 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("BeckerAnas/deft-glitter-211") model = AutoModelForImageClassification.from_pretrained("BeckerAnas/deft-glitter-211") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3c1bebff849825f8429aa120f286d80b3163769e30e78bdfad6aea153fe21ad
- Size of remote file:
- 5.78 kB
- SHA256:
- 49d1f56317c4e59a7ac227c23f697029d7b08c9e6dd24cc4ee00c6cd5178cfa6
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