Instructions to use frncscp/focalnet-small-patacon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frncscp/focalnet-small-patacon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="frncscp/focalnet-small-patacon") 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("frncscp/focalnet-small-patacon") model = AutoModelForImageClassification.from_pretrained("frncscp/focalnet-small-patacon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05d6d787525e7f0fda87df062c6c6146791d4af73e1e50e5e88b49545660ae7c
- Size of remote file:
- 3.96 kB
- SHA256:
- abe48f955ed086a1f8413c7174f5b024fd23357ca933c578285e42106e3e0f7a
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