Instructions to use davanstrien/flyswot_iiif with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/flyswot_iiif with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/flyswot_iiif") 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("davanstrien/flyswot_iiif") model = AutoModelForImageClassification.from_pretrained("davanstrien/flyswot_iiif") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aec466f4974077dcddab4b67cbaf4273b5d33b50c9698e0a287833b30ab5921
- Size of remote file:
- 2.99 kB
- SHA256:
- 0da62e666d7acd5cbd5b1bdf4e380b347a58c94638809c5b33f279a31e373e8a
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