Instructions to use davanstrien/flyswot_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/flyswot_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/flyswot_test") 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_test") model = AutoModelForImageClassification.from_pretrained("davanstrien/flyswot_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6231731f330278c59fc352b86cdd5c805734e8fd9ae039a56269c441ac30d20
- Size of remote file:
- 440 MB
- SHA256:
- 8b30bfb13d4d8d8780d0cc79fc11ac25af40e9e0e2c1facbfb5fb313b391dd6a
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