Instructions to use addy88/perceiver_image_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addy88/perceiver_image_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="addy88/perceiver_image_classifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoTokenizer, AutoModelForImageClassification tokenizer = AutoTokenizer.from_pretrained("addy88/perceiver_image_classifier") model = AutoModelForImageClassification.from_pretrained("addy88/perceiver_image_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c8e264e18c2f0ca9b95e346f703f59fb5b5a0a4477521e0ccfa6675730438a1
- Size of remote file:
- 245 MB
- SHA256:
- a8b6c7ddb06b585b3d205c914cf96d5016f744c124a3978b033e45707b26d8af
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