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:
- dd7d05f3ea32d9df5b95d599158920c40f02de98810ff3494bb9d444cf809064
- Size of remote file:
- 418 MB
- SHA256:
- c5619efd6feb24a687245c2a910b299ae42958729835e26e4fd4db8d0bb958d1
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